Krishna Sriram, PhD
About Krishna Sriram, PhD
Krishna Sriram, PhD, is a Principal Scientist in Computational Systems Biology at Bristol Myers Squibb, specializing in target discovery and validation in cancer.
Current Role at Bristol Myers Squibb
Krishna Sriram, PhD, serves as the Principal Scientist in Computational Systems Biology - Predictive Sciences at Bristol Myers Squibb in San Diego, California. In this role, he leverages his expertise in data analysis and computational biology to drive innovative research initiatives. His work involves predictive modeling, target discovery, and the validation of new therapeutic approaches, particularly within the fields of cancer biology and translational research.
Past Positions
Krishna Sriram's career includes several significant roles within the biotech and pharmaceutical industries. At Boundless Bio, he was the Principal Scientist in Bioinformatics for a period of 10 months in 2021-2022. Prior to that, he held the roles of Senior Scientist and Scientist in Computational Biology at Biosplice Therapeutics, all within the span of 2021. He also contributed as an Assistant Project Scientist at UC San Diego for two months in early 2021 and served as a Scientific Consultant at Cell Applications, Inc. in 2019. His postdoctoral work at UC San Diego, from 2015 to 2021, further solidified his expertise in drug discovery and target validation.
Academic Background
Krishna Sriram holds a Doctor of Philosophy (PhD) and a Master of Science (MS) in Mechanical Engineering from the University of California, San Diego, obtained in 2014 and 2010, respectively. He earned his Bachelor of Engineering (BE) in Mechanical Engineering from RV College Of Engineering in 2008. His academic journey has been marked by a strong foundation in mechanical engineering, which has seamlessly transitioned into his current focus on computational systems biology and bioinformatics.
Research Interests and Expertise
Krishna Sriram's research is focused on target discovery and validation in cancer, as well as translational research. He has worked on various projects involving wet-lab and computational methods. His expertise covers a wide array of areas including Cancer Biology, Pulmonary Biology (notably COVID-19), Tissue Fibrosis, Heart Failure, Immuno-oncology, and Vascular Biology. Sriram is skilled in data analysis and coding, and proficient with a variety of experimental techniques and omics data such as WGS, WES, RNA-seq, ChIP-seq, and proteomics.
Collaborative Projects
During his postdoctoral tenure, Krishna Sriram engaged in multiple collaborations with large biotech companies. These projects focused on drug discovery and the validation of novel therapeutic targets. His skillset in computational biology and bioinformatics played a critical role in the success of these collaborations, contributing significantly to advancements in target discovery and validation using omics-based screening methods.