Hayley Donnella, PhD
Vice President, Frontier Applications @ NOETIK
United States
Austin
Biotechnology
Machine Learning, Cancer Biology, Drug Discovery, Python (Programming Language), Network analysis, Data Integration, Computational Biology, Python, R, Predictive Modeling, Quantitative Research, Cancer, Oncology, Cell Signaling, Biotechnology, Precision Medicine, Biomarker Discovery, Drug Resistance, Cancer Therapeutics, Targeted Therapies
Experience
Vice President, Frontier Applications
NOETIK
Vice President, Frontier Research
Recursion
Senior Director, Computational Oncology
Recursion
Director, Computational Oncology
Recursion
San Francisco Bay Area
Senior Scientist, Computational Oncology
Recursion
San Francisco Bay Area
Computational Scientist, Translational Science
Freenome
San Francisco Bay Area
Scientist, Translational Science
Freenome
San Francisco Bay Area
Postdoctoral Researcher
University of California, San Francisco
San Francisco Bay Area
Developed a computational approach for optimizing breast cancer treatment strategies using single-cell pharmacogenomic modeling to predict drug responses of individual tumor cells
Pharmaceutical Sciences and Pharmacogenomics Graduate Program
University of California, San Francisco
San Francisco Bay Area
Designed rational combination strategies for overcoming drug resistance in cancer by: (1) mapping drug-induced pathway dynamics to identify new co-targeting candidates based on signaling responses (2) analyzing tumor subpopulation architectures to predict drug response states of individual cells using single-cell RNAseq
Clinical Pharmacology
Genentech
San Francisco Bay Area
Developed a quantitative systems pharmacology network for predicting efficacy of drug combinations in cancer
Experimental Pediatrics Research Department
UT MD Anderson
Houston, Texas
Education
University of California, San Francisco
Pharmaceutical Sciences and Pharmacogenomics
Texas Tech University
Biochemistry
Graduated Magna Cum Laude with Honors
Hayley Donnella, PhD's Contact Information
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