Kunal Poorey

Staff Scientist @Sandia National Laboratories

Fremont, CA, US
EMAILS
k••••••••@sandia.gov
MOBILE NUMBERS
+14•••••••93

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WORK HISTORY

Feb 2017 — Present

Staff Scientist @Sandia National Laboratories

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San Francisco, CA, US

As a computational biologist and data scientist I strive to solve fundamental and applied biological problems. Currently working at Sandia National Laboratories in Systems Biology Department, my work spans various bioinformatics and applied data science areas. My research interest covers data science, functional genomics, metagenomics, next-generation sequencing analysis, epidemiology, chemical engineering, chemistry, and material science. I am interested in matrixed interdisciplinary collaborations to find successful innovative solution to complex biological and engineering problems.

EDUCATION

2007 — 2013

University of Virginia

PhD, Biochemistry, Molecular Biology & Genetics focus on Bioinformatics, Genomics, Datamining & Modelling

N/A

Indian Institute of Technology, Bombay

Bachelor of Technology - BTech, Chemical Engineering

N/A

University of Virginia

Master of Science - MS, Civil & Environmental Engineering

SKILLS

MatlabBiologyPythonScienceBiotechnologyResearch and Development (R&D)Microarray AnalysisComputational BiologyRStatisticsMolecular GeneticsMolecular BiologyCell BiologyMachine LearningSystems BiologyBiochemistryDnaCellData AnalysisAlgorithmsR&DSequencingLife SciencesProtein ChemistryGenomicsBioinformaticsGeneticsMathematical Modeling

ABOUT KUNAL POOREY

I am a data scientist with over 15 years of experience in addressing fundamental and applied biological and engineering problems. I have a strong background in leading research and innovation projects within multi-disciplinary teams, contributing to impactful scientific discoveries.Currently, I work at Sandia National Laboratories, where my work spans various bioinformatics and applied data science areas, including GenAI applications in biology and engineering. My research expertise includes GenAI, AI/ML, functional genomics, metagenomics, next-generation sequencing analysis, chemical engineering, chemistry, and material science.I have had the opportunity to play a key role in fostering interdisciplinary collaborations to develop innovative solutions for complex scientific challenges.

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