I’m a PhD Candidate in Computer Science working with Remco Chang in the Visual Analytics Lab @ Tufts University (VALT), a visiting PhD student in the Visual Computing Group @ Harvard University, and the co-founder and organizer of Boston Vis.

In my research, I challenge traditional approaches to visualization design that often focus on highly specialized solutions for specific users, data, and tasks. Instead, I aim to transform the visualization design process into a systematic mapping from a problem space to a design space, particularly within the domain of decision-making. By applying qualitative research methods, I have found that my framework effectively describes decision-making problems, enables comparisons, and supports informed design decisions.

I graduated with a B.S. in Theoretical Mathematics from the University of Maryland in College Park, where I performed research within the Graphics and Visual Informatics Laboratory (GVIL). There, I was advised by Amitabh Varshney.

Both before and after starting my PhD, I worked for Tableau Research/Salesforce (Research Scientist Intern), Alife Health (Data Science Contractor), and Bose Corporation (Software Engineering Intern), and I collaborated with professors, research scientists and program managers at the National Revenewable Energy Laboratory, the MIT Lincoln Laboratory, Harvard University, and Worcester Polytechnic Institute.

Outside academia, I like picking up new hobbies, indulging in Art, Sports, and Reading.

News

🏆 08-25-24 Founded and started organizing Boston Vis, an emerging alliance of university- and industry-based Visualization researchers in the greater Boston Area.

🏆 08-14-24 Gave a tutorial on “Chat with your research papers using LLMs for free” at the Boston Vis PhD Summer School at Northeastern. Tutorial Extra Resources on LLMs for “chatting with your docs”

🏆 07-30-24 Got accepted to the IEEE Visusalization 2024 Doctoral Colloquium!

📈 07-24-24 Presented my paper A Typology of Decision-Making Tasks for Visualization in the VCG lab at Harvard University.

📝 07-15-24 Our paper, DimBridge: Interactive Explanation of Visual Patterns in Dimensionality Reductions with Predicate Logic got accepted to to IEEE Visualization 2024, see you all in Tampa:D

🚀 04-23-24 Today’s my first day as a Visiting PhD Student at Harvard University in Professor Hanspeter Pfister’s lab.

📝 04-16-24 Our paper, A Typology of Decision-Making Tasks for Visualization is now available on ArXiV!

📝 04-10-24 Our paper, DimBridge: Interactive Explanation of Visual Patterns in Dimensionality Reductions with Predicate Logic is now available on ArXiV!

📝 03-28-24 The report I helped putting together for the Dagstuhl seminar is now available on the seminar’s website!

🎆 06-06-23 Our paper, Knowledge Graphs in Practice: Characterizing their Users, Challenges, and Visualization Opportunities got accepted to IEEE Vis’23!

🏆 09-11-23 I had the opportunity to be invited and participate in the Dagstuhl Seminar “Human-Centered Approaches for Provenance in Automated Data Science” where I learned from and connected with Visualization and AutoML experts from a variety of universities and industries.