Evan Saraivanov is a first-year Ph.D. student at YITP. From 2022 to 2024, Evan excelled in the Master's program at Stony Brook. He has the rare combination of being strong in particle Physics, field theory, and Machine Learning.

He has led perhaps one of the most carefully studied papers on Machine Learning Emulator entitled Attention-Based Neural Network Emulators for Multi-Probe Data Vectors Part II: Assessing Tension Metrics.

Evan has been awarded multiple prizes during his current tenure at Stony Brook.

• 2024 David Fox Prize for Outstanding Teaching Assistant
• 2024 Lourie Fellowships
• Peter B. Kahn Prize for Outstanding Research/Travel Award

He is deeply interested in EFT applications to constrain interacting dark energy using DES-Y6 and LSST-Y1 data. Invite him for a talk!