Update (May 2025): I have successfully defended my Thesis, graduated, and have started working as an applied scientist at AWS in the backbone networking simulation team!
I was a PhD student at MIT working with Manya Ghobadi and Muriel Médard.
My work focused on the networking side of systems for Machine Learning. During my PhD I mostly focused on datacenter scheduling techniques, in particular for inference queries.
I proposed a stochastic scheduling technique and ML graph contraction insights, which led to Nona, published at CloudNet 2024 (Paper 
).
During the last semesters of my PhD, I also worked part-time in the SPARC group at Microsoft, with Abdul Kabbani and Ahmad Ghalayini, on novel datacenter congestion control algorithms.