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Data Scientist

Location:
Seattle, WA
Posted:
October 30, 2017

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Resume:

DHRUVA CHANDRAMOHAN, PhD

***** ** **** *****, *** 1404 Bellevue, WA 98007

ac21ow@r.postjobfree.com 908-***-****

OBJECTIVE

To obtain a challenging position in data science to demonstrate my leadership skills and leverage my training in machine learning, programming, and bioinformatics. PROFESSIONAL SUMMARY

• Built the R package multiDiff, which improves by up to 100x the ability to detect biological interactions in analyses of DNA methylation with complex designs

• Laid groundwork for future studies on improving dietary supplement regimens to prevent human birth defects, by identifiying epigenetic interactions and biomarkers associated with folic acid's action in mice models of neural tube defect

• Providing evidence for a potentially important mechanism underlying memory formation, by performing integrative analysis of piRNA in the mouse brain which showed their association with hypermethylation and silencing of retrotransposons

• Lead team to finals in the 2015 Bench to Bedside Business Plan competition, presenting how a disruptive platform technology for nanobody development could be brought to market while navigating a challenging IP landscape

• Sole developer of the initial release of the National Institutes of Health’s Human Body Weight Simulator, based on rigorously validated models of human body weight dynamics, with over 2 million unique users

• GitHub: https://github.com/dc1340. Contributor to 5 repositories, two active projects EDUCATION

Weill-Cornell Medical College, Tri-Institutional Training Program in Computational Biology, Mason Lab Doctor of Philosophy Jul 2011–August 2017

• Thesis research on epigenetics of neural tube defect and the mechanisms of folic acid rescue

• Developed multiDiff package for multifactorial DNA methylation analysis

• Performed comparative analysis of genomic annotations services, showing significant discordance.

• Coursework in machine learning, genomic analysis, scientific computing, and start-up development. New York University New York, NY Sep 2005- Jan 2009 Bachelor of Arts in Mathematics (Honors) and Philosophy

• Minor in Psychology

WORK EXPERIENCE

National Institute of Diabetes & Digestive & Kidney Disease, Laboratory of Biological Modeling Research Fellow Jul 2009 - Jul 2011

• Experimented with models of human body weight change

• Created Java applet implementing models for online distribution

• Organized patient recruitment and administered procedures for clinical validation study NYU Courant Institute of Mathematical Sciences New York, NY Researcher Aug 2008 - Jan 2009

• Validated and refined neuronal models of perceptual bistability PUBLICATIONS

Nandi, Sayan, D. Chandramohan, L Fioriti, A. Melnick, J. M. Hébert, Christopher E. Mason, Eric R. Kandel Roles for small noncoding RNAs in silencing of retrotransposons in the mammalian brain. PNAS. (2016). Zook, J.M., Catoe, D., McDaniel, J., Vang, L., Spies, N., Sidow, A., Weng, Z., Liu, Y., Mason, C., Alexander, N., Elizabeth Henaff, Alexa B.R. McIntyre, D. Chandramohan, et al. ‘Extensive sequencing of seven human genomes to characterize benchmark reference materials’. Scientific Data. (2016). Hu, Wenhuo, James Dooley, Stephen S. Chung, D. Chandramohan, Luisa Cimmino, Siddhartha Mukherjee, and others, ‘MiR-29a Maintains Mouse Hematopoietic Stem Cell Self-Renewal by Regulating Dnmt3a’, Blood (2015). Busby, B. et al. Building Genomic Analysis Pipelines in a Hackathon Setting with Bioinformatician Teams: DNA- seq, Epigenomics, Metagenomics and RNA-seq. bioRxiv 018085 (2015). Hall, Kevin D, Gary Sacks, D. Chandramohan, Carson C Chow, Y Claire Wang, Steven L Gortmaker, and others,

‘Quantification of the Effect of Energy Imbalance on Bodyweight’, Lancet, 378 (2011), 826–37. MANUSCRIPTS IN PREPARATION

D. Chandramohan, et al. Epigentic Interactions of Folic Acid in Mice Models of Spina Bifida. Blekhman et al. Genome variation in spina bifida patients points to key genes, pathways and regulatory regions conferring disease risk.

SKILLS

• Analytic Skills: Model building and analysis (focus in GLMs and ODEs), bioinformatics, applied statistics

• Platforms: Unix, Linux, GitHub, SGE, Mac OS X, Windows

• Programs: R Studio, GATK, plink, Matlab, Eclipse, Netbeans, MS Office, XPP

• Programming Languages: R, Python, Java, bash, awk LEADERSHIP AND HONORS

• Participant in NIH Course on Big Data in Computational Medicine July 2016

• Participant in Cornell Tech Health Hackathon Mar 2016

• Group Leader in Cornell Tech Data Science Hackathon Feb 2016

• Presenter for Finalist Team in Bench to Bedside Business Plan Competition Nov 2015

• Presenter for Epigenetics Team, NCBI Hackathon 2015 Jan 2015

• NIH HHS Innovates Award Finalist – HHS Secretary Selection March 2013

• Honors Thesis in Mathematics Aug 2008 - Jan 2009

• Secretary of NYU Ballroom Dance Club Sep 2008 - Jan 2009

• Merit Scholarship to New York University Sep 2005 - Jan 2009

• Founding member of NYU Acapella group, the Vocaholics Sep 2005- Jan 2009



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