Research Interests
I aim to extract meaningful patterns and information from large biological datasets using various supervised and unsupervised machine learning methods:
Education
University of California, San Diego: PhD student
Carnegie Mellon University: B.S. with double major in Chemical Engineering and Biomedical Engineering
Publications
Sastry A, Monk J, Tegel H, Uhlen M, J. Rockberg, B.O. Palsson, E. Brunk. Machine Learning in Computational Biology to Accelerate High-Throughput Protein Expression. Bioinformatics. 2017. doi:10.1093/bioinformatics/btx207.
Fang X*, Sastry A*, Tan J, Yurkovich JT, Lloyd CJ, Mih N, Kim D, Yang L, Palsson BO. A high-confidence global transcriptional regulatory network for Escherichia coli is consistent with transcriptomic data. under review.
Ebrahim A*, Brunk E*, Tan J*, O'Brien EJ, Kim D, Szubin R, Lerman JA, Lechner A, Sastry A, Bordbar A, Feist AM, Palsson BO. Multi-omic data integration enables discovery of hidden biological regularities. Nature Communications. 2016;7:13091. doi:10.1038/ncomms13091.
Monk J*, Lloyd C*, Brunk E, Mih N, Sastry A, King Z, Takeuchi R, Nomura W, Mori H, Feist AM, Palsson BO. Computable knowledgebase of Escherichia coli metabolism and its structural proteome: Meeting the big data to knowledge challenge. under review.
Prior Work Experience
Software Consultant, Novo Nordisk Foundation Center for Biosustainability
San Diego, CA. Oct 2014-May 2015
Development Engineer, Emerald Therapeutics
Menlo Park, CA. Summer 2013 & 2014
Contact Information
Email Address: avsastry@eng.ucsd.edu
LinkedIn: http://www.linkedin.com/in/anandsastry
