# Leilani Battle

**Source**: https://homes.cs.washington.edu/~leibatt/experience.html
**Parent**: https://homes.cs.washington.edu/~leibatt/bio.html

- [Bio](https://homes.cs.washington.edu/~leibatt/bio.html)
- [Projects](https://homes.cs.washington.edu/~leibatt/projects.html)
- [Publications](https://homes.cs.washington.edu/~leibatt/publications.html)
- [Experience](https://homes.cs.washington.edu/~leibatt/experience.html)

### 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

I co-lead the [Interactive Data Lab](https://idl.cs.washington.edu/) 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](http://idl.cs.washington.edu/) 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](http://research.microsoft.com/apps/pubs/default.aspx?id=231690).
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

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- 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

- ACM SIGMOD 2024 Panel Program Co-Chair
- ACM SIGMOD 2022 New Researcher Symposium Co-Chair
- Co-Organizer of the [Vis4Good 2022 Workshop](https://vis4good.github.io/) (co-located with [IEEE VIS 2022](http://ieeevis.org/year/2022/welcome))
- ACM SIGMOD 2021 New Researcher Symposium Co-Chair
- Co-Organizer of the [Vis4Good 2021 Workshop](https://vis4good.github.io/) (co-located with [IEEE VIS 2021](http://ieeevis.org/year/2021/welcome))
- ACM SIGMOD 2020 Publicity Co-Chair
- Co-Organizer of the [HILDA 2019 Workshop](http://hilda.io/2019/) (co-located with [ACM SIGMOD 2019](http://sigmod2019.org/))
- Co-Organizer of the [DSIA 2019 Workshop](http://www.interactive-analysis.org/)  (co-located with [IEEE VIS 2019](http://ieeevis.org/year/2019/welcome))
- Co-Organizer of the DSIA 2018 Workshop (co-located with [IEEE VIS 2018](http://ieeevis.org/year/2018/welcome))

#### 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)