Data Science
- Elke Rundensteiner
- Founding Head, Data Science Program
NRT Research Traineeship | Circular Economy & Data Analytics Engineering Research for Sustainability
CEDAR seeks to transform the next generation of technical leaders equipped with DS techniques and methods ready to solve critical engineering and science problems plaguing our society by replacing Linear Economy with a sustainable Circular Economy.
Undergraduate Research Projects Showcase
A celebration of research, design, and creative theses—a requirement of every graduating senior through the Major Qualifying Project (MQP)—takes place each spring on campus. Student teams representing all academic departments present their work to their faculty advisors, external sponsors, and the community-at-large, and the public is invited.
WiDS Central Massachusetts Annual Conference & Global Datathon Competition
Women in Data Science (WiDS) Central Massachusetts is an independent event hosted at WPI as part of the annual WiDS Worldwide conference, the WiDS Datathon, and an estimated 200 WiDS Regional Events worldwide. Everyone is invited to attend the WiDS conference and WiDS Datathon Workshop events which feature outstanding women doing outstanding work.
This one-day technical conference provides an opportunity to hear about the latest data science-related research and applications in a number of domains, and to connect with others in the field.
Data Science REU Summer Program
The Data Science Program at WPI, sponsored by the National Science Foundation, offers a 10-week, all-expenses paid Research Experience in Data Science for undergraduate students. The WPI Data Science program has successfully operated this site since 2016 and offers students from geographically diverse institutions around the country access to vibrant scientific research projects and undergraduate mentorship.
Elke Rundensteiner to Receive Another Prestigious IEEE Test-of-Time Award for Groundbreaking Visual Data Analytics Work
September 2024 | For the second straight year, pioneering work in data visualization and visual analytics at Worcester Polytechnic Institute (WPI) has received attention with a major IEEE award.
Elke Rundensteiner, the William Smith Dean’s Professor in Computer Science and Founding Head of WPI’s Data Science and Artificial Intelligence Program, will receive the 1999 VIS Test-of-Time Award at the upcoming Institute of Electrical and Electronics Engineers (IEEE) Visualization Conference for work done 25 years ago resulting in a publication co-authored with graduate student Ying-Huey Fua and the late computer science professor Matthew O. Ward.
Kyumin Lee
WPI Researchers Awarded $2 Million Grant to Use Science to Combat Wildlife Trafficking
August 2024 |For Kyumin Lee, professor of computer science, and Renata Konrad, a professor in The Business School at WPI, the new grant represents an evolution of work they started in 2020 to use a mix of artificial intelligence, physical tools, and supply chain, financial, and social media data to deter illegal wildlife trade.
From left, Pegah Emdad, Gavin Butts, and Jethro Lee
Students Solve Real-World Problems with Summer AI Research
August 2024 | How do you build a future workforce of data science and artificial intelligence leaders? At WPI, one approach is to immerse undergraduates in an intense summer program—the Applied Artificial Intelligence for Advanced Applications research experience.
With a three-year grant of $461,597 for a Research Experience for Undergraduates (REU) site from the National Science Foundation, WPI launched this 10-week research-intensive program in June 2024.
WPI's new artificial intelligence master's program to focus on ethics, innovation
Elke Rundensteiner, The William Smith Dean's Professor in Computer Science and founding head of WPI's new master's degree program in AI, spoke with Spectrum News 1 about the university's unique depth of expertise in the field and its aim to satisfy high demand for AI-related jobs.
Elke Rundensteiner Receives the Prestigious IEEE Test-of-Time Award for Groundbreaking Visual Data Analytics Work
Elke Rundensteiner, the William Smith Dean’s Professor in Computer Science and Founding Head of WPI’s Data Science Program, recently received the InfoVis 20-Year Test-of-Time Award from the Institute of Electrical and Electronics Engineers (IEEE) for her pioneering work on data visualization and visual analytics in 2003.
Power and Risks of Using AI in Healthcare Applications
April 17. 2023
Worcester Business Journal
Diagnosing AI: Healthcare community excited, wary of artificial intelligence
by Isabel Tehan
Researchers Develop Novel Technology to Screen Voice Recordings for Depression
April 26, 2022
Elke Rundensteiner and Colleagues Use Deep Learning to Tackle Mental Health Ailments
$2.8 Million to Help Soldiers Suffering from Traumatic Brain Injury
September 24, 2018
The project, funded by the Defense Advanced Research Projects Agency (DARPA), aims to use “smartphone biomarkers” and machine learning to create an early warning system for soldiers and veterans who may be suffering from traumatic brain injuries and infectious diseases.
Predicting NFL Player Performance
Students analyzed whether data collected during the league’s main scouting event could accurately predict how wide receivers performed during real games
Manasi Vartak '10
Manasi Vartak '10 founded Verta to help companies build AI-enabled products faster than ever.
Yang Tao, Retail marketing team, strategy & operation analyst, contractor for Google
During my course of study, I could choose different classes in areas like AI, machine learning, Big Data, and business intelligence. I learned database (sql), data processing and analysis (python), data reporting (tableau). Each course benefited me during my job hunting, as I talked about my projects in the different courses to match different roles and job descriptions. Through my graduate qualifying project (capstone), I also learned new techniques/methods/software to solve data related problems, while improving my public speaking and communication skills.
Alexander Shoop, Software Engineer at DataRobot
The Data Science graduate program has taught me the necessary fundamentals of machine learning and pragmatic data science projects through teamwork. Personally, it has also allowed me to use my creative talent, especially with regards to presentations and video demonstrations. I would absolutely recommend the Data Science program (undergraduate, graduate, and PhD) to any of my friends and colleagues! The program emphasizes team collaboration and working towards having a diverse skill set to handle any kind of data science scenario.
Mukund Khandelwal, Quantitative Associate at Wells Fargo
The overall graduate experience involved collaborating with students coming from different academic and cultural backgrounds. Through this experience, I learned how a problem could be approached from multiple angles and solved effectively.
Chen Liang, Data Scientist at Burning Glass
This program starts from a fundamental base and keeps upgrading the difficulty, which made me comfortable and built up my confidence and enhanced my skills—and ultimately made me ready to walk into my new job. It has provided such a great way to not only get our hands dirty real quick, but allows us to innovate.
Rosemarie Day, Senior Engineer in Applied Data Science at Collins Aerospace
I greatly enjoyed the GQP, which connected me with a company and a project that I could interact with and develop while finishing my degree. The project work allowed me to grow my skills in more of a corporate environment while still in school. This provided me with insights into how a data science team works outside of the classroom, what expectations would be set, and also allowed me to work alongside both other students and industry professionals.
Alumni success story
Digging Deep
To aid a fragile planet, alumni trio uses AI to improve scrap metal recycling in the face of growing demand.
