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Jennifer Listgarten

Computational Biology Bioengineering Machine Learning Berkeley AI Research (BAIR) Lab
8022 Berkeley Way West
University of California at Berkeley CS Faculty Uc berkeley

About

I am a Professor in UC Berkeley's EECS department , Center for Computational Biology, Bioengineering, and a member of the steering committee for the Berkeley AI Research (BAIR) Lab. From 2007 to 2017 I was at Microsoft Research, through Cambridge, MA, Los Angeles and Redmond, WA. Before that I did my PhD in the machine learning group at the University of Toronto.

Research Performance Summary

91
Total Papers
13805
Total Citations
40
H-Index
2000-2025
Active Research Span

First Recorded Paper

Exploring qualitative probabilities for image understanding

Year: 2000

Citations: 1

Venue: N/A

Latest Recorded Paper

Machine Learning for Protein-Protein and Protein-Ligand Interactions (Dagstuhl Seminar 24451)

Year: 2025

Citations: 0

Venue: Dagstuhl Reports 14 (11)

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2025
6
2024
8
2023
4
2022
3
2021
2
2020
3
2019
1
2018
4
2017
3
2016
3
2015
1

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 13
Journal 8
Book 0

Top Coauthors

Listgarten Kadie

Research Impact by Period

2025-2026

Period Stats
Papers 6
Citations 84
Avg. Citations / Paper 14
H-Index 2

2020-2024

Period Stats
Papers 20
Citations 1726
Avg. Citations / Paper 86.3
H-Index 12

2015-2019

Period Stats
Papers 12
Citations 6466
Avg. Citations / Paper 538.8
H-Index 7

2010-2014

Period Stats
Papers 34
Citations 3911
Avg. Citations / Paper 115
H-Index 20

2005-2009

Period Stats
Papers 15
Citations 1159
Avg. Citations / Paper 77.3
H-Index 11

2000-2004

Period Stats
Papers 4
Citations 459
Avg. Citations / Paper 114.8
H-Index 3

Contact and Professional Links

Contact Information

jennl@berkeley.edu

Detected Research Keywords

Wide Association Studies Linear Mixed Models Mixed Models Genome Models Genome Wide Genome Wide Association Personalized Medicine Genotypes Medicine Genotypes Molecular Genotypes Molecular Phenotypes Machine Learning Guided Learning Guided Design