Mahdi Haghifam

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Postdoctoral Researcher,
Khoury College of Computer Sciences at Northeastern University
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The beginning of knowledge is the discovery of something we do not understand.
— Frank Herbert

About Me

I am currently a postdoctoral researcher at Khoury College of Computer Sciences at Northeastern University, working with Jonathan Ullman‬, ‪Hongyang Zhang, and ‪Adam Smith‬. My research is generously supported by The Khoury College Distinguished Postdoctoral Fellowship.

In August 2023, I completed my PhD at University of Toronto and Vector Institute‬ where I was fortunate to be advised by ‪Daniel M. Roy‬. I received my B.Sc. and M.Sc. degrees both in Electrical Engineering from Sharif University of Technology.

During Summer and Fall 2022‪, I was a research intern at Google Brain where I was extremely lucky to be mentored by Thomas Steinke and Abhradeep Guha Thakurta‬. I was also a research intern at Element AI‬ in Winter 2019 and Fall 2020 where I had the privilege of working with Gintare Karolina Dziugaite.

Research Interests

My research focuses broadly on various aspects of Statistical Learning Theory and Differential Privacy. For a complete list of my publications, please visit the Publications page.

I like collaborations; feel free to reach out if you find common interests.

Some Recent Papers

  • A. Ganesh, M. Haghifam, T. Steinke, A. Thakurta (alphabeta) ‘‘ Faster Differentially Private Convex Optimization via Second-Order Methods’’, NeurIPS 2023 [paper].

  • M. Haghifam*, B. Rodriguez-Galvez*, R. Thobaben, M. Skoglund, D. M. Roy, G. K. Dziugaite ‘‘Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization’’, ALT 2023 [paper].

  • M. Haghifam, G. K. Dziugaite, S. Moran, D. M. Roy, ‘‘Towards a Unified Information–Theoretic Framework for Generalization’’, NeurIPS 2021 (Spotlight, <3% of submissions) [paper].