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UCLA Computational Medicine and Statistics professor Jingyi Jessica Li won one of the 2023 COPSS Emerging Leader Awards. The award recognizes the talents, leadership potential, and achievements of high-potential early career statistical scientists.
Please join us on May 15 for the prestigious, honorary John H. Walsh Young Investigators Research Prize Seminar.
Dr. Valerie A. Arboleda presents her research on Unraveling the Influence of Genetics in Human Disease.
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Dr. Weizhe Hong presents his research on Understanding the Social Brain.
The Department of Computational Medicine is pleased to announce a new online, self-supporting graduate program called the Master of Science in Data Science in Biomedicine. The program will combine foundational training in all areas of data science including machine learning, statistics, data
Charlotte Bhaskar, PLOS | cbhaskar@plos.org
Elizabeth G. Atkinson | Nature Genetics
Computational Medicine and Human Genetics at UCLA, with support from NIH, held the third Lange Symposium on Feb 3, 2023. The topic for this year’s symposium was Computational Statistics. This annual event celebrates the impact of Dr. Lange’s research, mentorship, and teaching over the course of an illustrious career spanning more than four decades.
Brain changes in people with autism are more far-reaching than previously thought, occurring throughout the cerebral cortex rather than being confined to certain areas thought to affect social behavior and language.
Computational Medicine faculty and trainees are presenting their research as platform presentations at the American Society of Human Genetics 2022 annual meeting:
Kodi Taraszka et al. A comprehensive analysis of clinical and polygenic germline influences on somatic mutational burden with implications for survival, Wed Oct 26, 2.00 pm.
UCLA Samueli Newsroom
A multidisciplinary team of researchers from UCLA and UC Irvine has received an 18-month, $996,000 grant from the National Science Foundation to develop a comprehensive, early-warning system to predict the emergence and spread of the next pandemic.