These talented researchers person been hired to enactment the increasing request for HDSI’s world programs and to grow upon the robust interdisciplinary information subject probe happening crossed UC San Diego.
"HDSI continues to pull highly regarded researchers successful each areas of information science," said founding manager Rajesh K. Gupta. "The caller appointments bespeak maturation successful halfway areas of Data Science specified arsenic Machine Learning, Mobile Health, Privacy, and Statistics but besides interdisciplinary areas specified arsenic Genetics and Environmental Data Science, which is the taxable of an ongoing search."
The caller module members are leaders successful their respective spheres and volition big courses successful respective areas of research, including instrumentality learning, statistics, biomedical informatics, and applied math. They articulation astir 50 colleagues with afloat oregon partial appointments with HDSI. For a afloat database delight sojourn https://datascience.ucsd.edu/about/faculty/faculty/.
HDSI continues to enlistee further module members with respective searches presently underway.
Founded successful 2018 arsenic an autarkic world portion astatine UC San Diego, the ngo of the Halıcıoğlu Data Science Institute is to found the technological foundations of information science, make caller methods and infrastructure, and bid students and partners to usage information subject to lick the world’s astir pressing problems. The institute is the administrative location of the undergraduate large and insignificant successful information science, arsenic good arsenic 3 graduate-level information subject programs (MS, Ph.D., online MDS).
AY2022-2023 New Faculty:
Tiffany Amariuta, Assistant Professor Ph.D.: Harvard University
Before starting her laboratory successful San Diego, Tiffany earned a B.S. successful Biological Engineering astatine MIT and went connected to behaviour postgraduate probe with Dr. Soumya Raychaudhuri arsenic portion of the Bioinformatics and Integrative Genomics Ph.D. programme astatine Harvard Medical School, wherever she studied the familial susceptibility of autoimmune diseases and different polygenic diseases. During postgraduate school, Tiffany developed instrumentality learning methods to foretell the functionality of regulatory variants, which had applications to transcription origin binding prediction, eQTL mapping, heritability enrichment analysis, and trans-ancestry portability of polygenic hazard scores. Dr. Amariuta has a associated assignment with the Department of Medicine.
Biwei Huang, Assistant Professor
Ph.D.: Carnegie Mellon University
Biwei Huang’s probe interests are chiefly successful 3 aspects: (1) automated causal find successful analyzable environments with theoretical guarantees, (2) advancing instrumentality learning from the causal perspective, and (3) utilizing oregon adapting causal find approaches to lick technological problems. She successfully led a NeurIPS’20 store connected causal find and causality-inspired instrumentality learning and co-organized the archetypal Conference connected Causal Learning and Reasoning (CLeaR 2022). She was named a Rising Star of the Trustworthy ML Initiative and is simply a recipient of the Presidential Fellowship astatine CMU successful 2017 and the Apple Scholars successful AI/ML Ph.D. fellowship successful 2021.
Haojian Jin, Assistant Professor Ph.D.: Carnegie Mellon University
Haojian Jin’s probe lies astatine the intersection of human-computer interaction, specializing successful systems for instrumentality learning, the Internet of Things, and privateness systems. His enactment has been recognized with a UbiComp Gaetano Borriello Outstanding Student Award, Research Highlights astatine Communications of the ACM and GetMobile, and champion insubstantial awards astatine Ubicomp and ACM Computing Reviews.
Tauhidur Rahman, Assistant Professor Ph.D.: Cornell University
Tauhidur Rahman antecedently served arsenic an Assistant Professor successful Computer Science astatine the University of Massachusetts Amherst wherever helium co-directed the Mobile Sensing and Ubiquitous Computing Laboratory (MOSAIC Lab). His existent probe focuses connected gathering caller ubiquitous and mobile wellness sensing technologies that seizure observable low-level carnal signals successful the signifier of acoustic and electromagnetic waves from our bodies and surrounding environments and representation them to applicable biologic and behavioral measurements. Some of his notable accomplishments see a Google Ph.D. fellowship successful 2016 successful mobile computing, a finalist presumption successful Qualcomm innovation fellowship successful 2015, Outstanding Teaching Award 2015 from Cornell University, 1 champion insubstantial grant successful ACM Digital Health 2016, and the champion insubstantial grant from ACM IMWUT successful 2021. Tauhidur received his B.S. successful Electrical and Electronic Engineering from the Bangladesh University of Engineering and Technology, his M.S. successful Electrical Engineering from the University of Texas astatine Dallas, and his Ph.D. successful Information Science from Cornell University.
Learn much by visiting HDSI at https://datascience.ucsd.edu
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