Experience

• Lead Machine Learning Engineer, WorldQuant Predictive. 2021 - Current.
• Data Science Manager, Deloitte. 2021.
• Senior Scientist - Artificial Intetlligence, Deloitte. 2019-2020.
• Assistant Professor, Teaching Stream. Department of Mathematics, University of Toronto. 2016-2020
• Director of Applied Mathematics Concentration, MSC in Applied Computing, Toronto. 2018-2019.
• Researcher. Department of Mathematics, University of Toronto. 2016.
  Sponsor: Adrian Nachman
• Lecturer. Department of Mathematics, University of Toronto. 2015-2016.

Education

• Postdoctoral Fellow. Department of Mathematics, University of Toronto. 2011-2015.
  Sponsor: Adrian Nachman
  Focus: Mathematical Methods in Medical Imaging. Inverse Problems. Differential Equations.
• PhD. in applied mathematics, Columbia University, 2011.
  Thesis: "Complex-Analytic Methods in Reconstructive Integral Geometry"
  Advisor: Guillaume Bal
  Focus: Inverse Problems. Mathematical physics.
• M.Phil. in applied mathematics, Columbia University, 2010
• M.S. in applied mathematics, Columbia University, 2007
• B.A. in mathematics, University of California, Berkeley, 2005

Continuing Education

• I am founder and coorganizer of the University of Toronto group Learning the Mathematics of Machine Learning.
• I completed the Stanford online course in machine learning. You may view my certificate.
• I was a participant in Todd Whitman's fantastic Summer Course on image processing.
• I completed Google's Python course

Scientific Articles

• Current Density Impedance Imaging with Anisotropic Conductivity in a Known Conformal Class. (with Amir Moradifam and Adrian Nachman), 2013. SIAM J. Math. Anal.
• Ray Transforms on a Conformal Class of Curves. (with Guillaume Bal), 2013. Inverse Problems in Imaging

Supervising/Organization

• Fields-MITACS Summer Undergraduate Research Program, Principal Supervisor.
  Bayesian and Statistical Inverse Problems. Project on methods in EEG.
• Fields-MITACS Summer Research School on the Mathematics of Mecdical Imaging.
  Supervisor to 4 very talented visiting graduate students on a project on covariance estimation. View the team's presentation
• Fields-MITACS Industry/Academia Connector Event on Mathematical Challenges in Medical Imaging. Co-Organizer.

Honors & Distinctions

• Frederick V. Atkinson award for Excellence in Undergraduate Instruction.
  Department of Mathematics, University of Toronto, 2015.
• Colloquium speaker, Swarthmore College, 2015.
• "Analytic and Geometrical Methods in Medical Imaging" conference. Invited speaker. INI. Cambridge, UK. 2011.
• Conference on Mathematics of Medical Imaging. Invited speaker. Fields Institute. Toronto, ON. 2011.
• "Inverse Transport Theory and Tomography" conference. Invited speaker. BIRS. Banff, AB. 2010.
• MITACS Focus Period Postdoctoral Fellow. 2011-current
• Graduate Research Assistant, Columbia University. 2009-2011.
• NSF RTG fellowship in "Numerical mathematics for scientific software". 2011
• NSF Integrative Graduate Education and Research Training fellow. 2007-2009
• Instructor, School of Visual Arts, 2010

Miscellany

• Object-oriented design in C++ and Java.
• UNIX bash.
• CSS and HTML markups.
• Numerics (including machine learning, and artificial intelligence applications) in Matlab, Octave and Python.
• Columbia APAM/IGERT weekly colloquia organizer, 2007/08 academic year.

Background

• United States citizen
• Canadian citizen