Yichen Tao - Homepage

About me

I'm a graduating applied math student @Texas A&M and will join STMI Lab in 2024 fall, pursuing my Ph.D. degree. My research focus on interpretable deep learning model on MIMIC-IV dataset and difussion based sequence to sequence generative model with application in medical setting.

My previous researches also include theoretical mathematics on spectral theory (partial difference equations) and number theory. (see more in CV)

Besides academic activities, I love different kinds of sports. You may find me around the aquatics area in the rec center, different ski resorts during the winter, or your inside line in Forza Motorsport.

What i'm doing

BoXHED 2.0: Boosted Hazard Learning

Model interpretation and benchmarking against deep learning counterparts.

Thanks to the creator @codewithsadee of this template!

Resume

Education

Texas A&M University
2020 — 2024
B.S, Applied Mathematical Science.

Minor, C.S.
National University of Singapore
Jan 2022 — May 2022
Exchange, School of Computing

Experience

Texas A&M C.S.E.
Sep 2023 — Present
Undergraduate Research, Supervisor: Dr. Bobak J. Mortazavi

BoXHED 2.0, model interpretation and comparison against deep learning counterparts.
Texas A&M Math
Sep 2022 — May 2023
Undergraduate Research, Supervisor: Dr. Wencai Liu

Floquet isospectrality of discrete one-dimensional periodic Schrödinger operators.
National University of Singapore Math
May 2022 — Aug 2022
Undergraduate Research, Supervisor: Dr. Ser Peow Tan

Identities on hyperbolic trice punctured sphere. Optimization on index enumerating algorithm with Farey tessellation. This algorithm has also been applied at another Dr. Tan's publication on Kulkarni conjecture.