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Biomath PhD program welcomes nine new students
This fall, the Department of Computational Medicine at UCLA will welcome five new students to its Biomathematics PhD program!
May 07, 2025
Prof. Jessica Li - 2025 Guggenheim Fellowship

Five UCLA faculty members are among a distinguished group of 198 scholars, scientists and creative professionals from the U.S.

Apr 18, 2025
Lange Symposium 2025
Videos from the  Fifth Annual Lange Symposium, held on January 27, 2025, are now available on the CompMed YouTube channel. This annual symposium is hosted by the UCLA Departments of Computational Medicine and Human Genetics and supported in part by a grant from the Natio
Feb 03, 2025
UCLA Open Positions

UCLA Computational Medicine is actively searching for outstanding candidates to join our faculty. In addition, several other active UCLA faculty searchers are relevant to our community. 

Dec 06, 2024
CGSI 2024

The Department of Computational Medicine has sponsored the Computational Genomics Summer Institute (CGSI) with funding from the NIH since 2016.

Oct 28, 2024
Rachel Mester and Apeksha Singh

The Department of Computational Medicine and especially the Biomathematics Ph.D. program wants to congratulate Rachel Mester and Apeksha Singh for finishing their Ph.D.

Jun 25, 2024
Dissertation Year Award

The Dissertation Year Award is intended to support doctoral students who are within one year of completing and filing their dissertation. This is the first time the Department of Computational Medicine has received two Dissertation Year Awards! The department is very proud of both Mariana and Xiangting and we look forward to the great work they will do during the upcoming academic year.

Jun 07, 2024
Biomath PHD students 2024

This fall, the Department of Computational Medicine at UCLA welcomes nine new students to its Biomathematics Ph.D. program. The incoming students have a diverse backgrounds in mathematics and biology, and they aspire to integrate different disciplines in their research. 

Vivek Agarwal

May 21, 2024
Perioperative Medicine Informatics UCLA

By Kevin McClanahan

Researchers say a machine learning tool can identify many patients with rare, undiagnosed diseases years earlier, potentially improving outcomes and reducing cost and morbidity. The findings, led by researchers at UCLA Health, are described in Science Translational Medicine.

May 01, 2024
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