The best part of being a professor is working with talented and engaging students!

PhD Students and Post-Doctoral Scholars

Current

• Matt Conlen (CS) — Authoring interactive documents.
• Jane Hoffswell (CS) — Visual debugging tools.
• Eunice Jun (CS) — Languages and tools for statistical analysis.
• Younghoon Kim (CS) — Visualization perception, models and automated design.
• Yang Liu (CS) — Data visualization & multiverse analysis.
• Tongshuang (Sherry) Wu (CS) — Interactive machine learning, error analysis (co-advised with Dan Weld).

Former

• Leilani Battle (CS Post-Doc) — Databases and scalable interactive visualization. Now faculty at UMD.
• Mike Bostock (CS) — Protovis & D3 visualization languages. Formerly at New York Times, now Founder at Observable.
• Jason Chuang (CS) — Text analysis and visualization (co-advised with Chris Manning).
• Michael Correll (CS Post-Doc) — Uncertainty visualization and perception. Now at Tableau Research.
• Çağatay Demiralp (CS Post-Doc) — Visual analysis of genomic data; automated visualization design. Now at IBM Research.
• Spence Green (CS) — Mixed-initiative language translation (primary advisor Chris Manning). Founder at Lilt.
• Sanjay Kairam (CS) — Selective sharing in social media. Now at Twitch.
• Sean Kandel (CS) — Wrangler: visual data diagnostics, cleaning, and transformation. Founder at Trifacta.
• Zhicheng Liu (CS Post-Doc) — Interactive visualization of big data. Now at Adobe Research.
• Diana MacLean (CS) — Algorithms and interfaces for medical informatics. Now at Facebook Research.
• Dominik Moritz (CS) — Integrating scalable databases and visualization (co-advised with Bill Howe). Now faculty at CMU.
• Jorge Poco (CS Post-Doc) — Computational visualization interpretation. Now faculty at Getulio Vargas Foundation, Brazil.
• Arvind Satyanarayan (CS) — Languages & tools for interactive visualization. Now faculty at MIT.
• K. Allison Smith (eScience Post-Doc) — Computational marine biology.
• Jeff Snyder (CS) — coLaboratory. Now at Google.
• Kanit (Ham) Wongsuphasawat (CS) — Visualization recommendation. Now at Apple.

Masters and Undergraduate Students

Recent

• Chanwut (Mick) Kittivorawong (BS CS) — Labeling algorithms for Vega.
• Halden Lin (MS CS) — Automated visualization design tools.
• Akshat Shrivastava (MS CS) — Interactive ML for sequence labeling.

Former

• Rio Akasaka (MS CS) — New interfaces for media browsing. Now at Google.
• Elliot Babchick (MS CS) — New interfaces for media browsing; Visual analysis of news stories.
• Anant Bhardwaj (MS CS) — Data Wrangler and Profiler. Went to MIT EECS, now Founder at Instabase.
• Dan Chang (MS EE) — Multi-lingual color naming experiments. Now at Pixar.
• Arti Chhajta (MS CS) — ReVision: computational visualization interpretation.
• Matthew Chun (BS CS) — Vega Project.
• Julie Fortuna (BS SymSys) — Categorical color perception.
• Emily Gu (BS CS) — Styling Vega visualizations.
• Sira Horradarn (BS CS) — Vega Project.
• Amy Jang (MS CS) — Visualizing and communicating physical pain. Now at Goole.
• Ashley Jin (MS CS) — Termite: topic model visualization.
• Nam Wook Kim (MS CS) — Visualizing genealogies with TimeNets. Now at Harvard.
• Swojit Mohapatra (BS CS) — Vega Project.
• Vadim Ogievetsky (MS CS) — Protovis and D3. Founder at Imply.
• Ravi Parikh (MS CS) — Data Wrangler and Profiler. Founder at Heap.
• Ryan Russell (BS CS) — Vega & Lyra visualization design environment. Now at Microsoft.
• Nathan Sakunkoo (MS CS) — Keyword programming of data visualizations. Now at Google.
• Edward Segel (MS SymSys) — Narrative visualization. Now at Stanford Business School.
• Will Strimling (BS CS) — Vega-Lite cartographic visualization.
• Lingyue Zhang (BS CS) — Vega Project.
• Andrea Zvinakis (MS SymSys) — New interfaces for media browsing. Now at Google.

Thesis Committees, Rotation Students & Collaborators

• Jacob Bank (CS) — The effects of latency on visual analysis.
• Matthew Can (CS) — Data Wrangler transform search.
• Morgan Dixon (CS) — Pixel-based UI reverse engineering. Now at Adobe Research.
• Philip Guo (CS) — Proactive Wrangler. Now faculty at Rochester.
• Sonal Gupta (CS) — Distantly supervised information extraction using bootstrapped patterns.
• Sudheendra Hangal (CS) — Social Flows; MUSE.
• Brandon Heller (CS) — Directed edge bundling; visualizing open source collaborations.
• Lahiru Jayatilaka (CS) — The effects of latency on visual analysis.
• Joy Kim (CS) — Data sonification experiments.
• Yea-Seul Kim (iSchool) — Bayesian cognitive models for visual analysis.
• Chinmay Kulkarni (CS) — Automated categorical color palette design.
• Sharon Lin (CS) — Data-driven color design tools.
• Eli Marschner (CS) — Visualizing open source collaborations. Now at Trifacta.
• Will McGrath (CS) — Visualization design tools.
• Neema Moraveji (Ed) — Peripheral-paced respiration.
• Gregory Nelson (CS) — Computer science education.
• Manolis Savva (CS) — ReVision: computational visualization interpretation.
• David Selassie (Chem) — Divided edge bundling.
• Justin Talbot (CS) — Accelerating R. Now at Tableau.
• Chenglong Wang (CS) — Program synthesis for visualization.
• Douglas Woos (CS) — Debugging distributed systems.