I am a Goldstine Fellow at IBM Research in New York. In 2020, I completed my PhD at Princeton University under the supervision of Amir Ali Ahmadi. Before joining Princeton, I graduated from Ecole Polytechnique.
I am broadly interested in Polynomial Optimization, Dynamical Systems & Control, and Machine Learning. You can learn more about my work by having a look at my papers.
You can contact me at: bachir[at]ibm[dot]com
Recent News and Highlights
- Slides I used for my Ph.D. dissertation defense.
- New paper on motion planning using SDPs.
- New video on Learning Dynamical Systems with Side Information.
- I will be a Goldstine Fellow at IBM Thomas J. Watson Research Center starting in September.
- The recording of my talk at MIT (Friday March 20th, 2020) is now available. Video, Slides.
- Our recent paper on "Learning with Side Information" has been accepted for an oral presentation at the L4DC conference.
- Slides for recent talk at Oberwolfach.
- I received the Princeton SEAS Award for Excellence.
- Cemil and I are organizing a session at INFORMS. Drop by if you are attending the conference.
- I will be presenting in the IOS Award Presentations session at INFORMS in Seattle.
- Recent talk on Generalized Cauchy-Schwarz Inequalities and his proof that all convex quaternary quartics are sums of squares. Video
- I was a Keynote speaker at the Canadian Undergraduate Mathematics Conference.
- Excited to have won honorable mention in the 2019 INFORMS Optimization Society Student Paper Prize Competition, for my paper Time-Varying Semidefinite Programs.