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


University of Washington, Seattle, WA (Jul 2021-Present)
Assistant Professor, Paul G. Allen School of Computer Science and Engineering
I co-lead the Interactive Data Lab with Prof. Jeffrey Heer.
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.


  • VMWare

    Early Career Faculty Grant

    Year: 2021, Amount: $50,000

  • 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


    Student Travel Grant

    Year: 2015

  • National Science Foundation (NSF)

    Graduate Research Fellowship Program (GRFP) Award

    Year: 2013

Leadership and Service


PC Member

  • 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

  • CG&A
  • Information Systems
  • 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

  • UMD CS Undergraduate Honors Program Co-Chair (2019-present)
  • UMD CS Diversity Committee Member (2019-present)
  • UMD CS Faculty Search Committee Member (2019)
  • UMD CS Graduate Admissions Committee Member (2017-2018)


Courses Taught

  • CMSC 498O: Selected Topics in Computer Science; Introduction to Data Visualization
    Advanced Undergraduate Course, Years Taught: 2019, 2020
  • CMSC 828D: Advanced Topics in Information Processing; Interactive Data Analytics
    Graduate Qualifying Course, Years Taught: 2018, 2019

Advised and Co-Advised Graduate Students

  • Deepthi Raghunandan, UMD (Ph.D., ~2021)
  • Sigfried Gold, UMD (Ph.D., ~2021)
  • Zehua Zeng, UMD (Ph.D., ~2021)
  • Sneha Gathani, UMD (M.S., ~2020)
  • Ameya Patil, UMD (M.S., ~2020)
  • Abhishek Bassan, UMD (M.S., ~2020)
  • Junran Yang, UMD (M.S., ~2020)
  • Pooja Gada, UMD (M.S., ~2020)
  • Andrew Fichman, UMD (M.S., ~2019)
  • Peitong Duan, MIT (M.S., 2017)
  • Dana Mukusheva, MIT (M.S., 2017)

Advised Undergraduate Students

  • Aminata Mamoud, UMD (B.S.)
  • Arjun Nair, UMD (B.S.)
  • Baboucar Sallah, UMD (B.S.)
  • Brandon Jackson, UMD (B.S.)
  • Danni Feng, UMD (B.S.)
  • Kelli Webber, UMD (B.S.)
  • Neha Satapathy, UMD (B.S.)
  • Peter Lim, UMD (B.S.)
  • Philip Lo, UMD (B.S.)
  • Shriya Sharma, UMD (B.S.)
  • Rishik Narayana, UMD (B.S.)
  • Yukun Zheng, UMD (B.S.)
  • Simrat Bhandari, UMD (B.S.)
  • Rachael Zehrung, UMD (B.S. 2019)
  • Yinan Chen, UMD (B.S. 2019)
  • Audace Nakeshimana, MIT (B.S., ~2020)
  • Zachery Miranda, MIT (B.S., 2018)