Summary
Sasha Stoikov is a founder and quantitative researcher with 11+ years of experience building data-driven systems at the intersection of high-frequency trading and recommendation engines. Trained as a mathematician (BS MIT, PhD UT Austin), he has led research groups at Cornell and run HFT desks as Senior VP at Cantor Fitzgerald, bringing rigorous theory into production trading and product teams. Since 2017 he has been applying that blend of math, algorithms, and engineering to founding Piki, a startup focused on extracting value from large-scale data. He is equally at home formalizing models and shipping systems, with a track record that spans academia, finance, and entrepreneurship in New York. Less obvious: his work links microsecond-scale market signals with user-facing personalization—showing a rare ability to translate ultra-low-latency techniques into consumer-facing recommendation products.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science, Mathematics, Bachelor of Science, Mathematics at Massachusetts Institute of Technology
PhD, Mathematics, PhD, Mathematics at The University of Texas at Austin
Cornell University
French, Spanish, German