I am invited to give a talk at Truman State University in October!
Our group is now a part of the BIGDATA program!
Submissions are now open for the IEEE Intl. Workshop on High Performance Computational Biology (HiCOMB 2013) in concurrence with IPDPS 2013
I am a senior research associate with the Computational Biology group at OHSU and visiting scientist at Fred Hutchinson Cancer Research Center in Seattle. Currently, I mainly work on the Cancer Target Discovery and Development project with Chris Kemp, Eddie Mendez, VK Gadi, Mehmet Gonen and Adam Margolin. I work on predictive models for cancer biology integrating cell line panels and patient tumor data. I also develop an analytical pipeline to analyze, annotate, and visualize all experimental data generated by our collaborators (high-throughput siRNA screens with and without compounds, patient sample compound screens, various omics data).
I completed my Ph.D. in Bioinformatics and Computational Biology in the High Performance Computational Biology group under the supervision of Srinivas Aluru (now at Georgia Tech) and Patrick Schnable (ISU). My thesis work was on parallel algorithms for Bayesian network structure learning and their applications to transcriptional networks. I was a postdoc with Sage Bionetworks as part of their NCI/CCSB fellow program. I became interested in machine learning and clinical data during my internship with Chris Bishop at MSR where I investigated automated modeling of causal effects in an early-life environmental intervention study in childhood asthma and allergies and did some preliminary work in a genome-wide association study for genetic-environmental interactions (Manchester Asthma and Allergy Study). I used Infer.NET.
1100 Fairview Ave North, C1-015
Seattle, WA 98109
onikolov at fredhutch dot org
last name at ohsu dot edu