I am a postdoctoral fellow at The University of Texas MD Anderson Cancer Center, working with Prof. Wenyi Wang. I received my PhD degree in Statistics from North Carolina State University in 2022, advised by Prof. Eric C. Chi (now at Rice University). I am broadly interested in numerical optimization, machine learning, high-dimensional statistics, and their applications in cancer omics data analysis, including genomic diversity and transcriptomic heterogeneity.
Since my PhD studies, I have had great pleasure in working with Prof. Kenneth L. Lange , Prof. Boaz Nadler, Prof. Shiqian Ma, Prof. Aaron J. Molstad, and Prof. Amanda Randles on a diverse set of projects. From Summer 2021 to Summer 2022, I had a wonderful internship at Argonne National Laboratory, working on a research project on derivative-free optimization under the supervision of Dr. Stefan M. Wild (now at Lawrence Berkeley National Lab).
Outside of research, I love brisk walking, fitness classes, and yoga (particularly hot yoga). I am proud of being a yogi! You never know what persistence will pay you off!
- Noc. 2023: Our DeMixSC work won the Best Poster Award at The 2023 Leading Edge of Cancer Research Symposium!
- Oct. 2023: Our DeMixSC paper on bulk RNA-seq deconvolution is now on bioRxiv.
- Sept. 2023: Our paper A Convex-Nonconvex Strategy for Grouped Variable Selection was accepted by Electronic Journal of Statistics (EJS).
- Apr. 2023: Our paper on 1-bit matrix completion is now on arXiv.
- Mar. 2023: Our L2E paper was selected to present at The 65th Annual Fall Technical Conference in Oct. 2023.
- Feb. 2023: Joint work with Stefan Wild and Kwassi Joseph Dzahini on zeroth-order optimization won the Best Poster Prize at 2023 SIAM Conference on Computational Science and Engineering!