Advait (5th year PhD student) obtained a dual degree, B.E Computer Science and MS Biological Sciences from BITS, Pilani in India. During his undergraduate degree, he received the Khorana Scholarship (2016) from the Indo-US Science and Technology Forum and also a thesis fellowship (2017-18) to work at Icahn School of Medicine, Mount Sinai, NY. At Mount Sinai, he worked on creating a Sub-cellular process-based ontology that predicts whole cell function using Natural Language Processing. His research interests are at the intersection of genomic data science and designing efficient algorithms to analyze genomic data.
Nick (4th year PhD student) obtained a B.S. degree in Computer Science and a B.S. with Honors in Mathematics from the University of Chicago. At the University of Chicago Nick worked in wireless networks research and later in computational biophysics focusing on conformational transition modeling for insulin degrading enzyme. His current interests are in the areas of computational biology with a focus on genomic data.
Leo (NLM Postdoctoral Fellow, primary mentor Prof. Lauren Stadler, secondary mentor Prof. Todd Treangen) received his PhD in Computer Science at Rice University in 2019 working on statistical modeling of DNA sequence evolution. He was advised by Dr. Luay Nakhleh, the J.S. Abercrombie Professor and Chair of the Department of Computer Science at Rice. Since joining at Rice, Leo was awarded a graduate research fellowship from the National Library of Medicine, has published work in computational biology in journals such as Bioinformatics, presented research at scientific conferences like RECOMB-CG in Barcelona and WABI in Helsinki, and contributed to a soon to be released book on computational modeling of evolutionary histories of genomes.
Yilei (4th year PhD student) obtained B.E. degrees in Computer Science and Technology from Harbin Institute of Technology, China. During his undergraduate procedure, he receive National People’s Scholorship for 3 times. In the meantime, he also worked on detecting SV(structure variation) on human genomes using third generation sequencing data. His research interest can be briefly discribed as exploring gene-carried information using third/next generation sequencing data.