Bryce (2nd year PhD student) received his MS in Bioinformatics and BS in Computer Science + Chemistry from the University of Illinois at Urbana-Champaign. As an undergraduate, he worked at Dow Agrosciences in both the computational biology and cheminformatics groups. His projects included developing software for phylogeny analysis and creating models for compound activity prediction. During his Master’s program, Bryce worked in a biochemistry lab developing software for genome mining as well as a on research project for creating bit-wise algorithms for the C++ STL. One of his main interests is casting biological and chemical problems into theoretical computer science questions.
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.
Mike (Postdoctoral Scientist) received his Ph.D. in Statistics in 2019 from the University of Illinois at Urbana-Champaign where he was advised by Dr. Tandy Warnow in the Department of Computer Science and worked on algorithms related to multiple sequence alignment and phylogenetic tree estimation, in particular applying these methods to studying microbial communities. He was co-advised by Dr. Rebecca Stumpf in the Department of Anthropology where he and other lab members developed novel methods to compare the microbiomes of human and non-human primates. His research interest is in discovering a new applications for our understanding of microbial communities.