Upcoming

I will be presenting at TADC (May 10-12, London) and CORS (June 4-6, Halifax).

Education

Ph.D. in Operations Research
2015 - 2020 (expected)
Columbia University

B.A.Sc. in Industrial Engineering
2010 - 2015
University of Toronto
Ranked 1 (out of 100 students)

Papers

How to play strategically in fantasy sports (and win)
Martin B. Haugh and Raghav Singal
MIT Sloan Sports Analytics Conference, 2018.
[PDF] [Sloan] [Video]

A Markov Decision Process-based handicap system for tennis
Timothy Chan and Raghav Singal
Journal of Quantitative Analysis in Sports, 12(4):179-189, 2016.
[Journal] [PDF]

Talks

How to play strategically in fantasy sports (and win) (poster)
Martin B. Haugh and Raghav Singal
Data Science Day, Columbia University (NYC, NY, USA), March 2018.

How to play strategically in fantasy sports (and win)
Martin B. Haugh and Raghav Singal
MIT Sloan Sports Analytics Conference (Boston, MA, USA), February 2018.
[Video]

Using a tennis rating system to determine handicaps in amateur matches (poster)
Timothy Chan and Raghav Singal
NESSIS, Harvard University (Boston, MA, USA), September 2017.

A handicap system for tennis (poster)
Timothy Chan and Raghav Singal
Data Science Institute, Columbia University (NYC, NY, USA), October 2016.

Modeling for daily fantasy sports
Martin B. Haugh and Raghav Singal
Department of IE and OR, Columbia University (NYC, NY, USA), September 2016.

Research in sports analytics (invited presentation)
Raghav Singal
Department of IE and OR, Columbia University (NYC, NY, USA), April 2016.

A Markov decision process (MDP) for tennis (invited presentation)
Timothy Chan and Raghav Singal
UTORG, University of Toronto (Toronto, ON, Canada), June 2015.

Machine learning techniques for a posteriori approximation of optimal MDP policies (invited presentation)
Timothy Chan and Raghav Singal
UTORG, University of Toronto (Toronto, ON, Canada), June 2015.

Improving CBCT image quality using modified shading correction, selective regression, and mathematical programming (poster)
Dionne M Aleman, Douglas Moseley, and Raghav Singal
MIE Research Symposium, University of Toronto (Toronto, ON, Canada), June 2015.

Image correction approaches for Cone-Beam Computed Tomography (CBCT) images (invited presentation)
Dionne M Aleman, Douglas Moseley, and Raghav Singal
IIE Annual Conference (Nashville, TN, USA), June 2015.

Improving CBCT image quality using modified shading correction, selective regression, and mathematical programming (poster)
Dionne M Aleman, Douglas Moseley, and Raghav Singal
IMNO (London, ON, Canada), March 2015.

Improving the image quality of Cone-Beam Computed Tomograpgy (CBCT) scans (invited presentation)
Dionne M Aleman, Douglas Moseley, and Raghav Singal
IIE Annual Conference (Montreal, QC, Canada), May 2014.

Teaching

Graph theory by example
Columbia University (Science Honors Program)
Instructor (Spring 2018)
Around 10 students

IEORE4004 Optimization models and methods
Columbia University
Teaching assistant (Fall 2015, 2016, 2017)
Around 160 students
Rated 4.63 out of 5

IEORE4600 Applied integer programming
Columbia University
Teaching assistant (Fall 2015, 2016)
Around 30 students
Rated 4.49 out of 5

Industry

Adobe
Data science intern
June 2017 - August 2017 (San Jose, CA, USA)
Developed models for digital attribution

Ontario Teachers' Pension Plan
Quantitative research
May 2013 - August 2014 (Toronto, ON, Canada)
Worked as a front office quant in the Asset Mix and Risk group

Awards

Highly commended by The Undergraduate Awards (2015) [Press coverage]

Best poster at MIE Research Symposium (2015)

MIE Summer Award at University of Toronto (2015)

Dan Cornacchia/Ernst and Young Scholarship (2013)

University of Toronto Excellence Award (2013)

Contact

Mailing address
Raghav Singal
500 West 120th Street
Mudd 315
Columbia University
New York City
New York 10027
USA

Email
rs3566 [at] columbia [dot] edu