About the Instructor
Nate Dowlin received his BS in mathematics from Yale in 2011 and his PhD in mathematics from Princeton in 2016. He went on to be an NSF post-doc at Columbia and Dartmouth, and a Ritt Assistant Professor at Columbia. He also spent one year as a visiting lecturer at Stanford.
Nate received some of the highest teaching evaluations at each of these universities, and received the following awards for teaching and research:
Junior Faculty Teaching Award from Columbia University
Mathematical Sciences Postdoctoral Research Fellowship from the NSF
Graduate Teaching Award from Princeton University
Anthony D Stanley Memorial Prize from Yale
Most of Nate’s research has been in knot theory and differential topology, but he has also dabbled in machine learning, cryptography, and astrophysics. His most significant research contributions are the construction of a spectral sequence from Khovanov homology to knot Floer homology, proving a 15 year old conjecture in knot theory, and applying neural networks to encrypted data, paving the way for AI to preserve individual privacy.
Course Reviews
Term |
University | Course | Class Size | Avg Review | Link to Reviews |
---|---|---|---|---|---|
Fall 2019 | Columbia | Calculus II | 150 | 4.6 | |
Winter 2019 | Dartmouth | Calculus I | 34 | 4.56 | |
Summer 2018 | Dartmouth | Topology | 10 | 5.0 | |
Fall 2017 | Columbia | Linear Algebra | 91 | 4.73 | |
Spring 2014 | Princeton | Linear Algebra | 16 | 4.71 |
Student Reviews