Mark (Max) Leiserson (PI)
Max Leiserson is a computer scientist and computational biologist. His main research interests are in developing and applying algorithms and statistics to understand the genetics of cancer. He was a graduate student with Ben Raphael in Computer Science and Computational Biology at Brown University, and was a postdoctoral researcher at Microsoft Research, New England.
|Biomolecular Sci Bldg #3113|
Yuexi (Tracy) Chen (PhD Student)
Yuexi (Tracy) Chen is a PhD student in Chemistry & Biochemistry at the University of Maryland as of September 2017. She comes from Sichuan Province, China and received her B.S. from University of Science and Technology of China (USTC). Her main research interests are in two fields:
- Apply machine learning in predicting gene interactions in eukaryote, and predicting protein structures/conformations directly from gene sequencing data (advised by Prof. Leiserson)
- Apply Maximum Entropy/Parsimony methods to predict eukaryote protein conformations based on Nuclear Magnetic Resonance (NMR) data (advised by Prof. Fushman)
As a former varsity tennis member of USTC, Tracy also enjoys playing tennis with friends.
|Biomolecular Sci Bldg #1120|
Xuan (Cindy) Li (Rotation Student)
Xuan Cindy Li is a 1st year PhD student in the Biological Sciences Graduate Program at the University of Maryland. Cindy hails from Guangzhou, China, but spent her undergrad at Washington University in St. Louis and therefore considers herself half St. Louisian (Go Cards!). During her rotation with the Leiserson Group, Cindy is exploring algorithms predicting synthetic lethality and genetic interactions across different species.
Jason Fan (Research Assistant)
Jason is interested in developing algorithms to understand disease models and cancer with biological networks. Currently, he is researching algorithms that learn representations and make predictions across multiple biological networks from different species. Prior to joining LRGr in September 2017, Jason received his B.S in Computer Science and Mathematics at Tufts University.
|Biomolecular Sci Bldg #3114A|
Mark Keller (Undergraduate)
Mark is exploring signatures of somatic mutations across different cancer types and subtypes. He is currently working on methods for inferring, characterizing, and visualizing mutation signatures. Mark is a sophomore computer science major at the University of Maryland and a member of the Computer Science Departmental Honors Program.
Xiaoqing Huang (Visitor)
Research Interests. My primary research interests concern the mutations in cancer genomes, mostly the somatic mutations with substitutions. The main goal is to find the cancer etiology and explain how different cancer types or subtypes differ in the way they accumulate somatic mutations, for example, what are the different underlying mutational processes they are experiencing and how they interact. In this way, we can understand cancer better and help with the precision medicine and target therapy.
Current Research. Currently, I am working on detecting the dependencies between mutational signatures and annotating the whole genome with the interesting ones that have statistically strong evidence.
|Domenick Braccia||Rotation student||Computational Biology, Bioinformatics, and Genomics|