About

I recently graduated UC Berkeley with honors degrees in EECS and Applied Mathematics. I am interested in Bayesian machine learning, probabilistic programming, and their applications to natural language processing. Currently, I am a visiting undergraduate researcher at MIT Probabilistic Computing Project. Here, you can find my CV, transcript, and LinkedIn Profile. You can contact me at mghavami@berkeley.edu

Papers

• G. Matheos, A. K. Lew, M. Ghavamizadeh, S. J. Russell, M. F. Cusumano-Towner, and V. K. Mansinghka. “Transforming Worlds: Automated Involutive MCMC for Open-Universe Probabilistic Models.” The 3rd Symposium on Advances in Approximate Bayesian Inference, 2021. (pdf)

Posters

• D. J. Arnold, J. Du, K. Flood, M. Ghavamizadeh, B. Kim, C. Parkinson, M. Plack, S. Tan, H. Yao, A. L. Bertozzi, P. J. Brantingham, “Dynamic Topic Modeling: Spatiotemporal Analysis of Los Angeles Twitter Data,” Algorithms for Threat Detection (ATD) Annual Workshop Washington, D.C. October 10-11, 2018 (pdf)

Awards and Honors

• Jack Kent Cooke Foundation Undergraduate Transfer Scholarship (2018): $40,000 per year for three years, about 40 recipients nationwide.
• NSF S-STEM Scholarship (2018): $12,000 scholarship awarded to 14 undergraduate transfer students at UC Berkeley interested in graduate studies.
• Member of Phi Beta Kappa and Tau Beta Pi.
• ACM ICPC Southern California Regional (2017): division II runner-up.
• American Mathematical Association of Two Year Colleges (AMATYC) Student Mathematics Competition 10th place nation-wide (2017).
• RoboCup Regional (IranOpen) Junior Soccer: open league quarter-finalist (2013, 14), lightweight league quarter-finalist and super-team champion (2015).
• Ranked in the top 0.05% in Iran’s National University Entrance Exam (2015).

Notes and Writings

• Probability for Applications (UC Berkeley Stat 204, Fall 2019) (incomplete)
• Satz-Beweis Undergraduate Abstract Algebra (there are a few gaps I need to fill in)
• Stirling’s Approximation