Four new faculty members join the ranks of the Halıcıoğlu Institute of Data Science

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These gifted researchers have been employed To assist the rising demand for HDSI tutorial packages and the growth of sturdy interdisciplinary knowledge science analysis occurring throughout UCSD.

Founding Director Rajesh Ok. Gupta: “HDSI continues to draw extremely regarded researchers in all areas of information science.” “The brand new hires mirror progress in core areas of information science reminiscent of machine studying, cell well being, privateness, and statistics, but additionally interdisciplinary areas reminiscent of genetics and environmental knowledge science, that are the topic of ongoing analysis.. ”

The brand new college members are leaders of their respective fields and can host programs in a number of areas of analysis, together with machine studying, statistics, biomedical informatics, and utilized arithmetic. They be part of practically 50 colleagues who’ve full or half time appointments with HDSI. For an entire checklist please go to

HDSI continues to recruit further college members with a number of searches presently underway.

Based in 2018 as an unbiased tutorial unit on the College of California, San Diego, the mission of the Halıcıoğlu Institute of Information Science is to ascertain the scientific foundations of information science, develop new strategies and infrastructure, and practice college students and companions to make use of knowledge science to resolve the world’s drawback. Probably the most urgent drawback. The Institute is the executive residence for the undergraduate and minor main in Information Science, in addition to three graduate-level knowledge science packages (MSc, Ph.D., MDS on-line).

New Faculty AY2022-2023:

Tiffany Mariota, Assistant Professor
Ph.D.: Harvard College

Earlier than beginning her lab in San Diego, Tiffany earned a bachelor’s diploma in organic engineering from MIT and went on to do graduate analysis with Dr. Soumya Raychaudhuri as a part of her PhD in Bioinformatics and Integrative Genomics. program at Harvard Medical College, the place she research genetic susceptibility to autoimmune ailments and different polygenic ailments. Whereas graduating from faculty, Tiffany developed machine studying strategies for predicting the capabilities of regulatory variants, which had functions for transcription issue binding prediction, eQTL mapping, heritability enrichment evaluation, and portability of polygenic danger scores throughout ancestry. Dr. Mariota has a joint appointment with the Division of Drugs.

Biwei Huang, Assistant Professor
Ph.D.: Carnegie Mellon College

Biwei Huang’s analysis pursuits are primarily in three elements: (1) machine detection of causality in complicated environments with theoretical ensures, (2) creating machine studying from a causal perspective, and (3) utilizing or adapting causal discovery strategies to resolve scientific issues. She efficiently led NeurIPS’20 Workshop on Causal Discovery and Causal-Impressed Machine Studying and co-organized the first Convention on Causal Studying and Inference (CLeaR 2022). She was named a Rising Star of the ML Reliable Initiative and was awarded a Presidential Fellowship at CMU in 2017 and an Apple Students in AI/ML Ph.D. Fellowship in 2021.

Haojian Jin, Assistant Professor
Ph.D.: Carnegie Mellon College

Haojian Jin’s analysis lies within the intersection of human-computer interplay, and he makes a speciality of machine studying programs, the Web of Issues, and privateness programs. His work has gained the UbiComp Gaetano Borriello Excellent Pupil Award, Excellent Analysis in Communications of the ACM and GetMobile, and Finest Paper Awards at Ubicomp and ACM Computing Opinions.

Tawheed Rahman, Assistant Professor
PhD: Cornell College

Tauhidur Rahman was beforehand an Assistant Professor of Laptop Science on the College of Massachusetts Amherst the place he co-directed the MOSAIC Lab. His present analysis focuses on constructing new ubiquitous and cell well being sensing applied sciences that seize observable low-level bodily indicators within the type of sound and electromagnetic waves from our our bodies and surrounding environments and map them to related organic and behavioral metrics. A few of his notable achievements embrace a Google Ph.D. Fellow in 2016 in Cell Computing, Finalist in Qualcomm Innovation Fellowship in 2015, Distinguished Educating Award 2015 from Cornell College, Finest Paper Award in ACM Digital Well being 2016, and Finest Paper Award from ACM IMWUT in 2021. Bachelor’s diploma. He has a PhD in Electrical and Digital Engineering from the Bangladesh College of Engineering and Expertise, a Masters in Electrical Engineering from the College of Texas at Dallas, and a Ph.D. in Data Science from Cornell College.

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