William La Cava

Assistant Professor, Harvard Medical School

Assistant Professor, Boston Children's Hospital

Joined

September 2018

Names

William La Cava (Preferred)

William G. La Cava

Emails

****@upenn.edu (Confirmed)

****@childrens.harvard.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Career & Education History

Assistant Professor

Harvard Medical School (harvard.edu)

2021 – Present

Assistant Professor

Boston Children's Hospital (childrens.harvard.edu)

2021 – Present

Postdoc

University of Pennsylvania (upenn.edu)

2016 – 2021

PhD student

University of Massachusetts at Amherst (umass.edu)

2012 – 2016

Advisors, Relations & Conflicts

Postdoc Advisor

Jason H. Moore

2016 – 2021

PhD Advisee

Lee Spector

2012 – 2016

Expertise

fair machine learning

2017 – Present

biomedical informatics

2016 – Present

symbolic regression

2012 – Present

Publications

Deep Survival Analysis from Adult and Pediatric Electrocardiograms: A Multi-center Benchmark Study
Platon Lukyanenko, Joshua Mayourian, Mingxuan Liu, John K Triedman, Sunil J Ghelani, William La Cava
- BioData Mining
- Readers: Everyone
Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias
Shan Chen, Jack Gallifant, Mingye Gao, Pedro José Ferreira Moreira, Nikolaj Munch, Ajay Muthukkumar, Arvind Rajan, Jaya Kolluri, Amelia Fiske, Janna Hastings, Hugo Aerts, Brian W. Anthony, Leo Anthony Celi, William La Cava, Danielle Bitterman
- NeurIPS 2024 Track Datasets and Benchmarks Poster
- Readers: Everyone
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?
Amelia L. M. Tan, Emily J. Getzen, Meghan R. Hutch, Zachary H. Strasser, Alba Gutiérrez-Sacristán, Trang T. Le, Arianna Dagliati, Michele Morris, David A. Hanauer, Bertrand Moal, Clara-Lea Bonzel, William Yuan, Lorenzo Chiudinelli, Priam Das, Harrison G. Zhang, Bruce J. Aronow, Paul Avillach, Gabriel A. Brat, Tianxi Cai, Chuan Hong et al. (19 additional authors not shown)
- Mar 2023 (modified: 19 Apr 2023)
- J. Biomed. Informatics 2023
- Readers: Everyone
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition
Fabrício Olivetti de França, Marco Virgolin, Michael Kommenda, M. S. Majumder, Miles D. Cranmer, Guilherme Espada, Leon Ingelse, Alcides Fonseca, Mikel Landajuela, Brenden K. Petersen, Ruben Glatt, T. Nathan Mundhenk, C. S. Lee, Jacob D. Hochhalter, David L. Randall, P. Kamienny, H. Zhang, G. Dick, A. Simon, Bogdan Burlacu et al. (4 additional authors not shown)
- 2023 (modified: 19 Apr 2023)
- CoRR 2023
- Readers: Everyone
Proportional Multicalibration
William La Cava, Elle Lett, Guangya Wan
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- Submitted to ICLR 2023
- Readers: Everyone
PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods
Joseph D. Romano, Trang T. Le, William G. La Cava, John T. Gregg, Daniel J. Goldberg, Praneel Chakraborty, Natasha L. Ray, Daniel S. Himmelstein, Weixuan Fu, Jason H. Moore
- 2022 (modified: 19 Apr 2023)
- Bioinform. 2022
- Readers: Everyone
A comparative study of GP-based and state-of-the-art classifiers on a synthetic machine learning benchmark
Patryk Orzechowski, Pawel Renc, William G. La Cava, Jason H. Moore, Arkadiusz Sitek, Jaroslaw Was, Joost Wagenaar
- 2022 (modified: 19 Apr 2023)
- GECCO Companion 2022
- Readers: Everyone
Proportional Multicalibration
William G. La Cava, Elle Lett, Guangya Wan
- 2022 (modified: 19 Apr 2023)
- CoRR 2022
- Readers: Everyone
SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming
Nuno M. Rodrigues, João E. Batista, William G. La Cava, Leonardo Vanneschi, Sara Silva
- 2022 (modified: 19 Apr 2023)
- EuroGP 2022
- Readers: Everyone
Population Diversity Leads to Short Running Times of Lexicase Selection
Thomas Helmuth, Johannes Lengler, William G. La Cava
- 2022 (modified: 19 Apr 2023)
- PPSN (2) 2022
- Readers: Everyone

View all 58 publications

Co-Authors

View all 127 co-authors