We are looking for trainees and staff at all levels (see openings) !
Brielin is an Assistant Professor in the Division of Informatics, Department of Biostatistics, Epidemiology and Informatics, with a secondary appointment in the Department of Genetics. Brielin is broadly interested in the development and application of statistical and computational methods in genetics and genomics with a focus on complex traits. Brielin conducted postdoctoral training at the New York Genome Center, jointly advised by Dr’s David Knowles and Tuuli Lappalainen. He received the PhD from the Department of Computer Science at the University of California, Berkeley in 2016, jointly supervised by Dr’s Lior Pachter and Noah Zaitlen. At Berkeley, he was the recipent of the Chancellor’s Fellowship for Graduate Study and the NSF GRFP. Prior to joining NYGC, he worked as a computational biologist at Verily Life Sciences. In a past life, he studied quantum complexity theory. In his spare time Brielin enjoys surfing, and collecting and mixing underground dance music.
Seong is a fourth year PhD student in the Computer Science department. He is interested in statistical machine learning and applications of causal inference in genomics.
Daniel Vo is a second year Genomics and Computational Biology PhD student. He is interested in genomic analysis and methods development, particularly in the context of neuropsychiatric disease. He is co-mentoered by Mike Gandal.
Sherry is a second year Genomics and Computational Biology PhD student. She is interested in population and statistical genetics.
Winter 2025 rotation. Currently PhD student with Joe Romano.
Info: Nia is a first year Genomics and Computational Biology PhD student. She is interested in applications of Machine Leanring and AI in genomics, particularly within the context of immune health.