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Maxwell Libbrecht

Probabilistic Modeling Unsupervised Learning Submodular Optimization Computational Genomics Gene Regulation
Simon Fraser University School of Computing Science

About

Maxwell Libbrecht is an Associate Professor in the School of Computing Science at Simon Fraser University and a Michael Smith Health Research Scholar. His research focuses on machine learning, probabilistic modeling, unsupervised learning, submodular optimization, genomics, and gene regulation. His work aims to develop computational and machine learning methods for understanding biological data and genomic processes.

Research Performance Summary

59
Total Papers
24155
Total Citations
20
H-Index
2006-2025
Active Research Span

First Recorded Paper

Interferometric measurement of the resonant absorption and refractive index in rubidium gas

Year: 2006

Citations: 35

Venue: American journal of physics 74 (12)

Latest Recorded Paper

CANDI: self-supervised, confidence-aware denoising imputation of genomic data

Year: 2025

Citations: 0

Venue: bioRxiv, 2025.01. 23.634626

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2025
6
2024
3
2023
4
2022
5
2021
11
2020
6
2019
2
2018
5
2017
1
2016
3
2015
3

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 4
Journal 6
Book 0

Top Coauthors

Libbrecht Noble

Research Impact by Period

2025-2026

Period Stats
Papers 6
Citations 5
Avg. Citations / Paper 0.8
H-Index 1

2020-2024

Period Stats
Papers 29
Citations 616
Avg. Citations / Paper 21.2
H-Index 7

2015-2019

Period Stats
Papers 14
Citations 3097
Avg. Citations / Paper 221.2
H-Index 10

2010-2014

Period Stats
Papers 7
Citations 20402
Avg. Citations / Paper 2914.6
H-Index 5

2005-2009

Period Stats
Papers 3
Citations 35
Avg. Citations / Paper 11.7
H-Index 1

Contact and Professional Links

Contact Information

maxwl@sfu.ca

Detected Research Keywords

Chromatin State Annotation Continuous Chromatin State Deemd Drug Efficacy Drug Efficacy Estimation Efficacy Estimation Against Estimation Against Sars Against Sars Cov Sars Cov Cell Cov Cell Morphology Recurrent Neural Network