Vanderbilt’s Data Science Institute has kicked off the third year of its undergraduate summer research program. The program engages students who are interested in carrying out data science-related research with a Vanderbilt faculty member and integrates them into the institute’s community of data science scholars.

This year, the DSI awarded fellowships to 24 undergraduate students with diverse academic backgrounds and research interests. New this summer is the addition of four partner sponsors from across campus to support a number of fellows. These partnerships allow students to work in labs affiliated with their sponsor on projects using data science techniques while simultaneously taking advantage of workshops, demo sessions and curated feedback from the DSI team.

The partner sponsors are as follows:

• Vanderbilt Microbiome Initiative
• Evolutionary Studies Initiative at Vanderbilt
• Vanderbilt Brain Institute
• Frist Center for Autism and Innovation

The undergraduate fellows will engage in 10 weeks of research with their faculty mentor and enhance their data science skills through online workshops led by the data science team with a goal of becoming articulate leaders through weekly demonstrations.

The 2021 fellows come from a wide range of schools, departments and majors across campus, including anthropology, cognitive studies, physics, computer science, neuroscience, psychology, political science, economics, and medicine, health and society.

Learn more about the 2021 fellows.

2021 Fellows

• Katharine Cella
• Zoe Crawley
• Dillon Davey
• Andrew Gothard
• Jiaxin He
• Miya Hugaboom
• Chetan Immanneni
• Qiaochu Jiang
• Rohit Khurana
• Hangling Liu
• Suiyang Mai
• Jessica Mo
• Amy Rieth
• Joseph Sexton
• Elijah Sheridan
• Janet Stefanov
• Benjamin Van Sleen
• Chet Weissberg
• Aidan Wells
• Qinlian Yang
• Yuqin Yang
• Xinxin Zhang
• Qianhui Zheng
• Zheyu Zhu

Director of Undergraduate Research Thomas Palmeri, Chief Data Scientist Jesse Spencer-Smith and Assistant Director Amanda Harding lead the DSI-SRP.

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World’s only artificial intelligence program that makes mistakes on purpose.

Artificial intelligence is known for being accurate, leaving no room for error. But one artificial intelligence program is taking the road untouched, making errors on purpose. This AI program is called Maia.

Maia is a chess program that uses cutting-edge AI from the best chess-playing programs. But instead of being the grandmaster of chess and making every move right, Maia aims to predict human moves, even the wrong ones. Maia was developed by Jon Kleinberg, a Professor at Cornell University. He said that this is the first towards creating an AI that will better understand human fallibility. The concept of this artificial intelligence is to be better at interacting with humans, by teaching, assisting, and negotiating with them.

Where Can This Mistake-Making AI Be Used?

According to Kleinberg, one place where this sort of AI can be used for business is health care. An artificial intelligence system that anticipates and makes errors can be useful in training doctors to read medical images or help them identify errors. “One way to do this is to take problems in which human doctors form diagnoses based on medical images, and to look for images on which the system predicts a high level of disagreement among them”, says Kleinberg. His decision to choose chess was based on the fact that it was one of the first domains where machine intelligence won against a human. “It is this sort of ideal system for trying our algorithms, sort of a model for AI dominance”.

The Code Behind The Unusual Maia

Maia was created using a code adapted from Leela Zero, an open-source clone of Alpha Zero which was a revolutionary AI program developed by DeepMind. Alpha Zero broke from the traditional AI chess program by having computers learn, without any human instructions, how to play the game like an expert. In the program, a simulated neural network has virtual neurons that can respond to input. For the purpose of chess, Alpha Zero is taught board positions and moves that are generated during practice games. This adapts the neurons to favor winning moves, this process is known as reinforcement learning. The same approach can be used to play other games too like checkers.

Maia was taught with the help of data from LiChess, a famous online chess server. The result of which was a chess program capable of playing the game in a more human way. More advanced forms of AI can eventually outweigh human intelligence in every domain, from literature to accounting. But according to Kleinberg, “there will be a long transition period where AI and humans will be working together, and there’s going to be some communication between them.”

Matthew Sadler, a British chess grandmaster says Maia can be helpful for training and practice. He says that experts have talked about the concept of chess programs mimicking certain players. With enough games to learn from, Maia can be trained to predict only the moves of a specific chess player.

The use of this error-making artificial intelligence can be used beyond chess. Image playing a game on the PlayStation against an AI that can mimic a top gamer. Moving forward from gaming, this artificial intelligence in business can help with negotiations by understanding human behavior and make software programs that can anticipate what human coworkers are about to do.

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Intel is partnering with Maricopa County Community College District (MCCCD) to launch the first Intel-designed artificial intelligence (AI) associate degree program in the United States. The Arizona Commerce Authority will also provide a workforce grant of $100,000 to support the program. It will enable tens of thousands of students to land careers in high-tech, healthcare, automotive, industrial and aerospace fields.

Whom It Helps: Based in Tempe, Arizona, MCCCD is the largest community college district in the U.S. with an estimated enrollment of more than 100,000 students across 10 campuses and 10,000 faculty and staff members.

How It Helps: The AI program consists of courses that have been developed by MCCCD’s faculty and Intel leaders based on Intel software and tools such as the Intel® Distribution of OpenVINO™ Toolkit and Intel Python. Intel will also contribute technical advice, faculty training, summer internships and Intel mentors for both students and faculty members. Students will learn fundamental skills such as data collection, AI model training, coding and exploration of AI technology’s societal impact. The program includes a social impact AI project that is developed with guidance from teachers and Intel mentors. Upon completion, MCCCD will offer an associate degree in artificial intelligence that can be transferred to a four-year college.

Why It’s Important: AI technology is rapidly accelerating with new tools, technology and applications requiring workers to learn new skills. Recent studies show the demand for artificial intelligence skills is expected to grow exponentially. A 2020 LinkedIn report notes that AI skills are one of the top five most in-demand hard skills. Research by MCCCD Workforce and Economic Development Office estimates an increase of 22.4 percent for these roles by 2029.

As of early June 2020, more than 43 million Americans have filed for unemployment benefits. Furthermore, a recent McKinsey study estimates that over 57 million jobs are vulnerable, meaning they are subject to furloughs, layoffs or being rendered unproductive. It is critical for educational institutions and corporations to collaborate to prepare for future workforce demands.

About AI Program Launch Details: The program’s first phase will be piloted online at Estrella Mountain Community College and Chandler Gilbert Community College in fall 2020. As physical distancing requirements are lifted and the concerns of the COVID-19 pandemic decrease, classes will begin in-person at both campuses.

More Context: This expands on the Intel® AI for Youth program, which provides AI curriculum and resources to over 100,000 high school and vocational students in nine countries and will continue to scale globally. (Read, “AI for Youth Uses Intel Technology to Solve Real-World Problems.”) Additionally, Intel recently collaborated with Udacity to create the Intel Edge AI for IoT Developers Nanodegree Program aimed at training 1 million developers. Intel has a commitment to expand digital readiness to reach 30 million people in 30,000 institutions in 30 countries. This builds on the company’s recently announced 2030 goals and Global Impact Challenges that reinforce its commitment to making technology fully inclusive and expand digital readiness.

Intel’s corporate responsibility and positive global impact work is embedded in its purpose to create world-changing technology that enriches the lives of every person on Earth. By leveraging its position in the technology ecosystem, Intel can help customers and partners achieve their own aspirations and accelerate progress on key topics across the technology industry.

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Microsoft and Udacity have announced a collaboration to confer scholarships for its all-new Machine Learning Nanodegree program in Microsoft Azure. The new Udacity Machine Learning Scholarship Program for Microsoft Azure represents the first of several programs from Udacity and Microsoft to deliver training for Azure cloud services.

The scholarship will be conferred in two phases. After reviewing the applications, 10,000 selected candidates will be enrolled to pursue the first phase of scholarship.

The phase begins with a two-month-long foundation course in Introduction to machine learning on Azure with a Low-code Experience. This is a single course focused on completing prerequisites for the full Nanodegree program where you’ll be supported by a community moderated by Udacity.

A unique feature of this program is Azure Labs wherein students work on projects in live Azure environments directly within the Udacity classroom.

The top 300 performers from the foundation course will then be awarded the scholarship to the Microsoft Azure Machine Learning Engineer Nanodegree program.

Speaking about the scholarships, Gabriel Dalporto, CEO of Udacity shared: “With the Artificial Intelligence continuing to grow at a fast pace and AI engineers in high demand, especially as more enterprises build new cloud applications and move old ones to the cloud, Udacity’s training program for Azure machine learning presents an amazing opportunity for those looking to further expand their skill set. We’re excited to partner with Microsoft to create professionals with these specialized skill sets.”

“AI is driving transformation across organizations and there is increased demand for data science skills,” said Julia White, corporate vice president, Azure Marketing, Microsoft. “Through our collaboration with Udacity to offer low-code and advanced courses on Azure Machine Learning, we hope to expand data science expertise as experienced professionals will truly be invaluable resources to solving business problems.”

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New Delhi: Great Learning, India’s leading EdTech company for working professionals has launched a new program, the Data Science Fellows Program, aimed at providing unmatched learning and career outcomes to students and recent alumni (graduated less than 3 years ago) from the top 150 engineering colleges in the country. This competitive, seven-month program will arm the learners with skills that are perfectly calibrated with premium jobs in Data Science and Analytics. With this program, Great Learning has made a strong commitment to invest in the learners’ future, and is offering a “PAY LATER” option modelled on Income Sharing Agreements to students selected for the program. All qualified and interested candidates will have the opportunity to go through the rigorous evaluation process, including a 3-week preparatory bootcamp course called “DS Foundation Track”.

The Data Science Fellows program builds on Great Learning’s pedigree in Analytics and Machine Learning, where they have consistently been ranked the best in India. The program will help learners transition to highly competitive roles such as Data Scientist, Business Analyst, Data Analyst, Data Engineer, and Machine Learning Engineer. Over the course of 7 months, learners hone these skills through quality learning material, personalized mentorship and support, rigorous assessments, and hands-on application of their learnings on industry-relevant problems and case studies.

While the demand for professionals in this field is high, organizations face a shortage of skilled professionals which is slowing down their business. This new program, introduced by Great Learning bridges this gap in applicable skills through multiple mini-projects, capstone projects and hackathons. Learners will also develop proficiency with tools and technologies such as Python, Tableau and SQL. While the Data Science Fellows Program is intense and comprehensive, it is also designed to allow participants to learn with minimal disruption to their professional and academic commitments.

Speaking on the launch of this new Program, Mr. Hari Krishnan Nair, Co-founder, Great Learning said, “Data Science is expected to add significant growth and value to the world’s economy and it will impact organizations across sectors. Data is a big asset for organizations today, which are increasingly relying on the application of Data Science and Machine Learning to gain a competitive advantage. To help them make the most of these technologies, these organizations are looking for high-quality talent with ready-to-use Data Science skills. To bridge this gap, and to help young professionals boost their career in Data Science, we have collaborated with Great Lakes Executive Learning to create this program. Our endeavour is to find the best talent from the top engineering colleges, equip them with the skills that companies are looking for, and connect them to corporates seeking such talent.”

In 2020, India is expected to be one of the top markets for Data Science in the world, and there has been a 60 percent rise in demand for data science experts in the industry over the last 2 years. According to NASSCOM, there are presently over 1 lakh job opportunities for professionals skilled in data science, and these jobs are among the best paying jobs in the industry today.

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January 29, 2020 – Microsoft has launched a five-year, $40 million program called AI for Health, an initiative that will use artificial intelligence tools to address some of healthcare’s biggest challenges, including disease diagnosis and treatment and global health crises.

The AI for Health program will ensure that nonprofits, academia, and research organizations have access to the latest technology, resources, and technical experts to leverage AI for research and care delivery.

The AI for Health initiative will focus on accelerating medical research to advance the prevention, treatment, and diagnosis of diseases, as well as increasing understanding of mortality and longevity. The program will also work to promote health equity by improving access to care for underserved populations.

“Artificial intelligence has the potential to solve some of humanity’s greatest challenges, like improving the health of communities around the world,” said Brad Smith, president, Microsoft.

“We know that putting this powerful technology into the hands of experts tackling this problem can accelerate new solutions and improve access for underserved populations. That’s why we created AI for Health.”

The AI for Health program will build on existing partnerships with organizations, including Fred Hutchinson Cancer Research Center, which aims to build an ecosystem that allows safe and secure sharing of biomedical data.

“Unlocking and sharing data is critical to discovering new ways to treat and ultimately cure cancer,” said Dr. Raphael Gottardo, scientific director, Translational Data Science Integrated Research Center, Fred Hutch. “Working in close collaboration with Microsoft, we will be able to harness new advances in AI, machine learning and cloud computing to spur innovation and open up new avenues for preventing and treating cancer and related diseases.”

In addition to facilitating data sharing, the AI for Health program will also aim to discover the cause of sudden infant death syndrome (SIDS) through a partnership with Seattle Children’s Research Institute.

“Recent collaborations with the Microsoft data science team have already showcased how AI can bring a deeper quality of research by helping us uncover important answers about breathing disorders and causes of infant mortality like SIDS,” said Dr. Nino Ramirez, director of the Center for Integrative Brain Research at Seattle Children’s Research Institute.

“We are excited by the opportunity to continue our work together, combining our shared talents with cutting-edge computing tools that have the power to transform our field and ultimately save lives.”

Microsoft will also collaborate with the Novartis Foundation to eliminate leprosy.

“Leprosy is one of the oldest diseases known to humans, but today an estimated two to three million people are still living with the disease,” said Dr. Ann Aerts, head, Novartis Foundation.

“Around the world, we are working to accelerate efforts to eliminate leprosy by focusing on interventions that aim to interrupt transmission. The use of AI is transformative and a game changer in how we can accelerate progress and scale our work to reach the people in need.”

The AI for Health program will also work to detect diabetic retinopathy to prevent blindness, and accelerate advancements in the fields of maternal mortality, tuberculosis treatment, and pediatric cancer.

The primary foundation of the AI for Health program will be to support health equity and eliminate disparities in healthcare, which will lead to improved outcomes and reduced costs.

“There is a great need to focus on societal issues such as reducing health inequity and improving access to care for underserved populations,” John Kahan, Chief Data Analytics Officer at Microsoft, wrote in a recent blog post.

“While researchers work to unlock life-saving discoveries and develop new approaches to pressing health issues, advancements in technology can help accelerate and scale new solutions.”

The new program is part of Microsoft’s AI for Good initiative, a $165 million commitment to empower people and organizations working to create a positive impact on society that address the world’s toughest issues. The initiative includes AI for Accessibility, AI for Cultural Heritage, AI for Earth, and AI for Humanitarian Action.

“Through AI for Health, we will support specific nonprofits and academic collaboration with Microsoft’s leading data scientists, access to best-in-class AI tools and cloud computing, and select cash grants. As a tech company, it is our responsibility to ensure that organizations working on the most pressing societal issues have access to our latest AI technology and the expertise of our technical talent,” Kahan said.

“We look forward to working with researchers, academics, nonprofits, health industry professionals and policymakers around the world as we accelerate research and insights. Together, we can improve the health of people and communities globally.”

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DataRobot is proudly expanding its enablement operations. We are seeking a technical person who can spearhead enablement efforts in support of our customer-facing engineering team.

In this role you will deeply understand the technologies & processes employed by our customer facing engineers, and in turn teach/train and enable new hires to quickly ramp up to speed.

The successful candidate will have a working knowledge of the various technologies we use to deploy our platform within client-organizations, including but not limited to: Hadoop, Domino, DataBricks, Python, R, C# and Java.

In addition to these deep technical skills, a standout candidate will also have a working knowledge of various statistical and data science / machine learning techniques such as: Data preprocessing, Regression, Classification, Clustering.

This role is based in Boston, MA. Supremely qualified candidates from other geographies in the USA are invited to apply for consideration.

About our field engineers:

A field engineer at DataRobot supports both the sales and data science teams during presales and postsales. Pre-sales activities include but are not limited to security, architecture and POC-related discussions and support. Field Engineers usually have named accounts and are responsible for the successful maintenance of our platform.

About You:

• Excellent writing and communication skills
• Experience installing, managing and supporting platforms running on Linux
• Data management/wrangling or software development experience
• Working knowledge of enterprise software with experience of supporting its deployment in large enterprise accounts
• Bonus: Experience of working with enterprise customers, providing engineering, infrastructure, and technical guidance and support

Additional Bonus points:

• Experience with cloud IaaS providers (AWS EC2, Azure)
• Hadoop, Spark or BI expertise
• Bachelors in Computer Science, related field or equivalent demonstrable experience

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After graduating at the University of Pennsylvania in 2012, Chloe Ho (MBA 2019) began her post-undergrad career in New York working for Morgan Stanley. While there, she served in a strategy and analytics role, working on projects for sales and trading management. However, after four years on the job, she realized that there was something missing—she knew that she needed more to give her career an edge.

“I could sense an increasing appetite for data and data-driven managerial decision-making,” says Ho. “I felt that this was a trend that was occurring across all industries, beyond just my immediate one of financial services. This highlighted the need for me to gain data fluency and competency—to invest in building out my data and analytics skillset for the sake of my career.”

When Ho decided to explore different career options for similar strategy roles outside the finance sector, the teams at tech-savvy startups, such as Squarespace, quickly confirmed her data-minded suspicion.

“I would successfully pass through several rounds of interviews, only to be stymied later on when handed a laptop for live coding exercises,” she says.

With these experiences in mind, Ho took matters into her own hands to break the technological glass ceiling.

She decided to invest in external courses—specifically, the Data Science program at General Assembly—to bolster her data and analytics expertise. During her 10-week course, Ho learned the Python coding language, picked up best practices in data mining and exploratory analysis, and familiarized herself with the ins and outs of various machine learning models.

Ho took this newly acquired data and analytics knowledge with her to HBS, and, subsequently, landed an internship at the Bay Area–based Samsung Innovation and Strategy Center during summer 2018.

While she appreciated the resources of a large organization like Samsung, Ho wanted to be closer to the action and build her experience in big data and artificial intelligence at a smaller firm. She accepted a job as Manager, Business Operations and Strategy, at Scale AI, joining the summer after she graduates from HBS. This Bay Area firm specializes in labeling and annotating data, creating high-quality datasets to inform use cases from autonomous vehicles to drones. Scale’s technology accelerates AI development by democratizing access to intelligent data.

“It has been said that ‘data is the new oil’—it is the next key and critical resource, one that confers significant competitive advantage to organizations and companies,” says Ho. “However, it is also generated and collected from all of us, and the insights derived feed into a wide variety of use cases, from recommendations on Netflix to personalized healthcare.”

As for kicking off her new career post HBS, Ho is excited to be a part of the booming AI revolution that provides not only innumerable consumer benefits, competitive advantage, and efficiency gains from the data being collected, but one that also presents larger existential implications.

“As this field continues to involve, there are broader implications on data ownership and governance, notions of personal privacy and ethics, and on the evolution of man-machine interactions and interfaces,” says Ho. “We as a society have the opportunity to decide where we stand on these issues and to proactively put in place the policies and institutions to enable a future that is not only data-driven, but one that is also just, ethical, and fair.”

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Mason Grimshaw grew up on the Rosebud Sioux Indian Reservation in South Dakota but moved to Rapid City during high school to pursue a better education. When it came time to apply to college, he hopped online, typed “best engineering schools” into Google, and applied to two places: MIT and his father’s alma mater, the South Dakota School of Mines and Technology. He was admitted to both, but when he got into the Institute, his father insisted that he go.

It wasn’t an easy decision, however. Grimshaw felt guilt about leaving his community, where he says that everyone helps each other get by. The move to Rapid City had been difficult enough for him, given that 90 percent of his family lived back at the reservation. Coming to Cambridge was an even bigger step, but his family encouraged him to take the opportunity.

“I didn’t really want to leave home, because that is such a strong community for me. I thought if I did leave, it was only going to be worth it if I could get the best education possible,” he says.

Now a graduate student at the MIT Sloan School of Management working toward a Master of Business Analytics (MBAn) degree, Grimshaw hopes to eventually bring the skills and knowledge he acquires at MIT back home to the reservation.

Looking at the big picture, Grimshaw has aspirations to bring programming to Rosebud. The ultimate dream would be to open a software or web development consulting firm where he could teach community members computer science skills that they could, in turn, teach others. He hopes that through this business, he can equip people in the community with enough technical skills to be able to sustain the company on their own without his help. It’s a long-term goal, but Grimshaw aims high.

Discovering data

After earning his bachelor’s in business analytics at MIT, Grimshaw saw the MBAn as a natural next step. The program teaches students to apply the techniques of data science, programming, machine learning, and optimization to come up with business solutions.

“Because I did it as an undergrad, I thought this stuff was so cool. You can kind of predict the future and help anyone make a better decision. If I was going to be that person to help people make decisions that are important and change people’s lives, I wanted to make sure that I was as prepared as possible,” Grimshaw says.

Surprisingly, Grimshaw did not touch a line of code before coming to MIT. In fact, he entered college intending to study mechanical engineering. But in his first year, his friend was having issues with an assignment for a computer science class, so he decided to help him take a crack at the problem.

The work was fun, Grimshaw says, and coding came naturally for him. Eventually, he dropped his mechanical engineering pursuits and started studying computer science. He later switched majors and applied his computer science education to business analytics.

As a part of his MBAn program, he must complete an analytics capstone project, in which students work with a sponsor organization to create data-driven solutions to specific problems. Grimshaw, along with his program partner Amal Rar, will be working with the Massachusetts Bay Transportation Authority (MBTA) this summer to make The Ride, MBTA’s door-to-door paratransit service, more efficient.

Bringing business to invisible places

Grimshaw is also currently assisting MIT Sloan Senior Lecturer Anjali Sastry in writing a case study for South African nonprofit RLabs. RLabs seeks to inspire hope by providing business training and consulting to underprivileged South African communities. Grimshaw liked the organization’s mission, and he hopes that working on the RLabs case could give him some ideas about how to bring hope and innovation to his own community back home.

The nonprofit has, in part, inspired some of Grimshaw’s future aspirations for Rosebud. It has also gotten him to think about alternative ways to invest in or give back to communities that don’t necessarily focus on money. Some people, he says, need a place to stay or food more immediately than they need money.

Evaluating those circumstances and developing business models that address those more immediate needs as a form of payment can be a unique alternative to traditional compensation. Grimshaw stresses that monetary compensation is still important, but that being responsive to the specific areas of need within a community also has value.

“There’s a fine line. You can’t just say, ‘These people have nothing so they should just be happy to have a roof over their heads.’ I’m certainly not trying to do that, but there’s a difference in values and in what people place value on. Using that to make your business a little more sustainable is interesting,” Grimshaw says.

The reservation that Grimshaw is from lies within Todd County, an area that was previously listed as one of the poorest in America. He hopes to demonstrate to businesses that it is possible and worthwhile to invest in overlooked areas. He says that a lot of case studies in his field don’t feature stories from the emerging world or rural areas. He wants to show that through creative thinking and problem-solving, companies can work in these places, create jobs, and help lift people out of poverty.

Family forward

Outside of his studies, Grimshaw mostly spends time with his wife and 5-month-old son, Augustine. His face lights up as he speaks about them.

His wife, Julia, also has a passion for helping people and works as the assistant activities director at Hale House, an assisted senior living facility in Boston. The two of them grew up together and hope to move their family closer to home after Grimshaw finishes his MBAn. For now, their favorite things to do in Boston are going to the Public Gardens (Augustine loves the grass, Grimshaw says), getting a bite at Tasty Burger in Fenway, and watching the “Great British Bake Off” at home.

He also continues to participate in the American Indian Science and Engineering Society (AISES), which he joined as an undergraduate. There were very few members when he arrived at MIT in 2014, and while the number is still small, Grimshaw is enthusiastic about its growth.

“It was pretty cool because when I came here there were four, and on a good day five, of us. I still go to meetings. As I go now, there’s always 10 people, sometimes up to 12 or 15, and it’s awesome to see how much it’s growing,” he says.

While most people going into his field may opt for Silicon Valley or somewhere else on the coasts, Grimshaw would rather take his skill set closer to home. He won’t necessarily move back to Rosebud itself; somewhere within a reasonable driving-distance is more likely. He’s thinking about Denver, with its up-and-coming tech scene, but nothing is set in stone. Wherever he ends up, if a company is interested in helping others through data, Mason Grimshaw is here to help.

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