CV

Research Interests

Machine Learning, Data Mining, Computational Biology, Health Sciences

Education

  • Ph.D. in Computer Science, University of Virginia, 2014-2018
  • M.S in Computer Science, University of Virginia, 2012-2014
  • B.E in Computer Engineering, University of Pune (India) , 2008-2012

Relevant Papers

  • R. Singh, Jack Lanchantin, Arshdeep Sekhon, and Yanjun Qi, “Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin”. NIPS. [arXiv] (2017)
  • R. Singh, Arshdeep Sekhon, Kamran Kowsari, Jack Lanchantin, Beilun Wang, and Yanjun Qi, “GaKCo: a Fast GApped k-mer string Kernel using COunting”. ECML-PKDD. [arXiv] (2017)
  • R. Singh, Jack Lanchantin, Gabriel Robins, and Yanjun Qi. “Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction”. IEEE/ACM Transactions on Computational Biology and Bioinformatics. (BIOKDD) [paper](2016)
  • R. Singh, Jack Lanchantin, Gabriel Robins, and Yanjun Qi. “DeepChrome:  Deep-learning for predicting gene expression from histone modifications”. Bioinformatics. (ECCB). [paper](2016)
  • R. Singh and Yanjun Qi. “Character based String Kernels for Bio-Entity Relation Detection”. ACL BioNLP Workshop. [paper](2016)
  • R. Singh, Cem Kuscu, Aaron Quinlan, Yanjun Qi, and Mazhar Adli.”Cas9-chromatin binding information enables more accurate CRISPR off-target prediction”. Nucleic Acid Research. [paper](2015)

Other Publications

Work Experience

Teaching Experience (TA)

  • Fall 2015: Machine Learning (Graduate Level)
  • Spring 2013: Theory of Computation (Undergraduate Level)
  • Fall 2012: Algorithms (Undergraduate Level)

Selected Talks

  • November 27, 2017: (Invited) “Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin” at Casa Matemática Oaxaca (CMO) – Banff International Research Stations (BIRS) Workshop (Oaxaca, Mexico)
  • March 30, 2017: “DeepChrome+” at Thirteenth UVa Engineering Research Symposium (University of Virginia) [First Prize]
  • September, 2016: “DeepChrome:  Deep-learning for predicting gene expression from histone modifications” at ECCB 2016 (The Hague, Netherlands) [slides]
  • June, 2016: (Invited) “Transfer String Kernel for Cross-Context Sequence Specific DNA-Protein Binding Prediction” at Indraprastha Institute of Information Technology – Delhi (India) [slides]

Awards and Honors

  • Travel Award – 2017 (NIPS)
  • Grace Hopper Celebration of Women in Computing Student Scholarship – 2017 (Anita Borg Institute)
  • Graduate Student Award for Outstanding Research 2016-2017 (Department of Computer Science, UVA)
  • First Prize in Podium Presentation – 2017 (13th Annual UVA Engineering Research Symposium)
  • Travel Fellowship ECCB – 2016 (International Society of Computational Biology)
  • L. William Ballard Fellowship – 2015 (School of Engineering and Applied Sciences, University of Virginia)
  • Chief of Army Staff Best Outgoing Student Award – 2012 (Army Institute of Technology, University of Pune)
  • TATA Merit Scholarship Award – 2010 (Army Institute of Technology, University of Pune)

Organizations

Graduate Society of Women Engineers (GradSWE) @ University of Virginia

Participated in:

  • Undergraduate Mentorship Program (An undergraduate SWE member is paired with a graduate student mentor)
  • Professional panel discussion for High School Visitation with SWE (Offered perspective about STEM research to high school girls)