Education
Massachusetts Institute of Technology, Cambridge, MA (Spring 2017)
PhD Candidate, Computer Science, GPA 5.0/5.0
Thesis: “Behavior-Driven Optimization Techniques for Scalable Data Exploration”
Advisor: Michael Stonebraker
Massachusetts Institute of Technology, Cambridge, MA (August 2013)
MS, Computer Science, GPA 5.0/5.0
Thesis: “Interactive Visualization of Big Data Leveraging Databases for Scalable Computation”
Advisor: Michael Stonebraker
University of Washington, Seattle, WA, (June 2011)
BS, Computer Engineering, GPA 3.77/4.0
Appointments
University of Washington, Seattle, WA (Jul 2021-Present)
Assistant Professor, Paul G. Allen School of Computer Science and Engineering
University of Maryland, College Park, MD (Aug 2018-Jun 2021)
Assistant Professor, Computer Science Department
I led the Battle Data (BAD) Lab, which focuses on developing intuitive and interactive tools to support big data science.
University of Washington, Seattle, WA (July 2017-July 2018)
Postdoc, Paul G. Allen School of Computer Science and Engineering
I worked with Jeffrey Heer in the
Interactive Data Lab on
characterizing user visual analysis behavior with standard visualization tools (e.g., Tableau),
to: 1) inform the design of new visualization recommendation systems; and 2) to develop realistic workloads (and ultimately benchmarks)
for testing the performance scalable visual analytics tools.
Microsoft Research, Redmond, WA (Summer 2014)
Research Intern
I worked with Danyel Fisher in the VIBE group, focusing on HCI and
visualization. I developed new techniques for recording query provenance
in
data stream management systems.
I used the resulting provenance data to design a more intuitive user interface
for visually debugging temporal database queries. Our work was presented at
CHI, a premier conference for human-computer interaction research.
Telenav R&D, (Summer 2012)
Technical Intern
I developed a tool for recommending relevant destinations to users planning a new trip via a GPS device or smartphone.
Grants and Awards
-
Alfred P. Sloan Foundation
Sloan Research Fellow
Year: 2023, Amount: $75,000
-
IEEE Technical Committee on Data Engineering
TCDE Rising Star Award
Year: 2022
-
National Science Foundation (NSF)
Computer and Information Science and Engineering (CISE)
CAREER Award
Year: 2022, Amount: $570,541
-
VMWare
Early Career Faculty Grant
Year: 2021, Amount: $50,000
-
MIT Technology Review
MIT TR 35 Under 35 Award
Year: 2020
-
Adobe
Data Science Research Award
Year: 2019, Amount: $58,000
-
Oak Ridge Associated Universities (ORAU)
Ralph E. Powe Junior Faculty Enhancement Award
Year: 2019, Amount: $10,000
-
National Science Foundation (NSF)
Computer and Information Science and Engineering (CISE)
Research Initiation Initiative (CRII) Award
Year: 2019, Amount: $175,000
-
Schloss Dagstuhl/National Science Foundation (NSF)
Travel Grant for Junior Researchers
Years: 2017 and 2018
-
University of Washington
Office of Postdoctoral Affairs
Postdoc Travel Award
Year: 2018
-
ACM SIGMOD
Student Travel Grant
Year: 2015
-
National Science Foundation (NSF)
Graduate Research Fellowship Program (GRFP) Award
Year: 2013
Leadership and Service
Co-Chair/Co-Organizer
PC Member
- ACM CHI 2023
- ACM SIGMOD 2023
- EuroVis 2022
- ACM CHI 2021
- VLDB 2020
- ACM SIGMOD 2020
- IEEE InfoVis 2019
- VLDB 2019 (Demos Track)
- ICDE 2019 (Demos Track)
- IUI 2019 (Senior PC Member)
- VISSOFT 2018
- ACM SIGMOD 2018 (Student Research Competition)
- HILDA 2018 Workshop (co-located with SIGMOD 2018)
- BigVis 2018 Workshop (co-located with EDBT/ICDT 2018)
External Reviewer: Journals
- IEEE TVCG
- CG&A
- Information Systems
- IJITM
- TIST
- TKDE
External Reviewer: Conferences
- ACM CHI 2022
- ACM CHI 2020
- ACM CHI 2019
- ACM SIGMOD 2018
- IEEE InfoVis 2017
- IEEE VAST 2015
- VLDB 2015
- EuroSys 2015
- EDBT 2015
University/Department Service
- UW Allen School Committe on Undergaduate Research (2022-2023)
- UW DUB Summer REU Program Co-Chair (2022-2023)
- UMD CS Undergraduate Honors Program Co-Chair (2019-2021)
- UMD CS Diversity Committee Member (2019-2021)
- UMD CS Faculty Search Committee Member (2019)
- UMD CS Graduate Admissions Committee Member (2017-2018)
Teaching
Courses Taught
- CSE 442: Data Visualization
UW Undergraduate Course, Years Taught: 2022, 2023
- CSE 512: Data Visualization
UW Graduate Course, Years Taught: 2022
- CSE 599: Interactive Analysis Systems
UW Special Topics Graduate Course, Years Taught: 2021
- CMSC 498O: Selected Topics in Computer Science; Introduction to Data Visualization
UMD Undergraduate Course, Years Taught: 2019, 2020
- CMSC 828D: Advanced Topics in Information Processing; Interactive Data Analytics
UMD Graduate Course, Years Taught: 2018, 2019
Advised and Co-Advised PhD Students
- Ameya Patil, UW (current)
- Junran Yang, UW (current)
- Hannah Bako, UMD (current)
- Sneha Gathani, UMD (current)
- Deepthi Raghunandan, UMD (2023)
- Zehua Zeng, UMD (2022)