Machine Learning Archives - Sanford Burnham Prebys

Education and Training

2010: Postdoctoral associate, Molecular Biophysics and Biochemistry, Yale University
2009: PhD, Computer Science, Yale University
2003: M.Phil., Computer Science, The University of Hong Kong
1999: B.Eng., Computer Engineering, The University of Hong Kong

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YouTube: Bioinformatics micro-modules

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Integrative analysis of the Caenorhabditis elegans genome by the modENCODE project.

Gerstein MB, Lu ZJ, Van Nostrand EL, Cheng C, Arshinoff BI, Liu T, Yip KY, Robilotto R, Rechtsteiner A, Ikegami K, Alves P, Chateigner A, Perry M, Morris M, Auerbach RK, Feng X, Leng J, Vielle A, Niu W, Rhrissorrakrai K, Agarwal A, Alexander RP, Barber G, Brdlik CM, Brennan J, Brouillet JJ, Carr A, Cheung MS, Clawson H, Contrino S, Dannenberg LO, Dernburg AF, Desai A, Dick L, Dosé AC, Du J, Egelhofer T, Ercan S, Euskirchen G, Ewing B, Feingold EA, Gassmann R, Good PJ, Green P, Gullier F, Gutwein M, Guyer MS, Habegger L, Han T, Henikoff JG, Henz SR, Hinrichs A, Holster H, Hyman T, Iniguez AL, Janette J, Jensen M, Kato M, Kent WJ, Kephart E, Khivansara V, Khurana E, Kim JK, Kolasinska-Zwierz P, Lai EC, Latorre I, Leahey A, Lewis S, Lloyd P, Lochovsky L, Lowdon RF, Lubling Y, Lyne R, MacCoss M, Mackowiak SD, Mangone M, McKay S, Mecenas D, Merrihew G, Miller DM 3rd, Muroyama A, Murray JI, Ooi SL, Pham H, Phippen T, Preston EA, Rajewsky N, Rätsch G, Rosenbaum H, Rozowsky J, Rutherford K, Ruzanov P, Sarov M, Sasidharan R, Sboner A, Scheid P, Segal E, Shin H, Shou C, Slack FJ, Slightam C, Smith R, Spencer WC, Stinson EO, Taing S, Takasaki T, Vafeados D, Voronina K, Wang G, Washington NL, Whittle CM, Wu B, Yan KK, Zeller G, Zha Z, Zhong M, Zhou X, modENCODE Consortium, Ahringer J, Strome S, Gunsalus KC, Micklem G, Liu XS, Reinke V, Kim SK, Hillier LW, Henikoff S, Piano F, Snyder M, Stein L, Lieb JD, Waterston RH

Science 2010 Dec 24 ;330(6012):1775-87

Dr. Yu Xin (Will) Wang received his PhD at the University of Ottawa where he identified cellular asymmetry and polarity mechanisms regulating muscle stem cell self-renewal and skeletal muscle regeneration. He then carried out postdoctoral training at Stanford University School of Medicine developing single cell multi-omic approaches to characterize the regenerative process and what goes awry with disease and aging.  

“I’ve always had a passion for science and became fascinated with how the body repairs and heals itself when I was introduced to the potential of stem cells in regenerative medicine. I was struck by the ability of a small pool of muscle stem cells that can rebuild and restore the function of muscle. My lab at Sanford Burnham Prebys aims to better understanding the repair process and harness our body’s ability to heal in order to combat chronic diseases and even counteract aging.”

Education and Training

Postdoctoral Fellowship, Stanford University School of Medicine
PhD in Cellular Molecular Medicine, University of Ottawa, Canada
BS in Biomedical Sciences, University of Ottawa, Canada

Prestigious Funding Awards

2020: NINDS K99/R00 Pathway to Independence Award

Honors and Recognition

Governor General’s Gold Medal – Canada

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Dr. Sanju Sinha earned his Bachelor of Technology in Bioengineering at the Indian Institute of Technology in Guwahati, India. He recently completed his postdoctoral research and PhD in computational biology at the National Cancer Institute (NCI) with Dr. Eytan Ruppin with a co-mentorship of Dr. Brid Ryan during his PhD His PhD was earned in a joint University of Maryland and NCI program.

“At the core of my work is the desire to make a lasting impact on patient’s lives, offering patients not just better treatment, but an opportunity to avoid the disease altogether. Sanford Burnham Prebys is renowned for its work in understanding aging and developing new drugs—two areas that are key to my research. This makes it the perfect place for what I’m hoping to achieve.”

Education

2021: PhD, Computational Biology, University of Maryland and National Cancer Institute
2016: B.Tech., Bioengineering, Indian Institute of Technology, Guwahat

Honors and Recognition

2023: Top Five Outstanding NCI Postdoctoral Fellow 
2023: Transition to Industry Fellowship 
2021: Emerging Leaders of Computational Oncology by MSKCC. 
2020: NCI Outstanding PhD award
2020: NCI CCR milestone 
2019: NCI Fellows Award for Research Excellence 

Our Machine Learning Resources

A list of almost all the big data resources available in cancer research

Computational resources to study immune system

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