Ahmet Alacaoglu
Continuous optimization for machine learning, reinforcement learning and other data science problems
Postdoctoral Associates
WID Postdocs expand the institute’s research portfolio and expertise, bringing new perspectives to bear on problems.
View:
Claire Bergey
Claire's research aims to explain how children learn to communicate and to use communicative structure to learn about words and concepts.
Chuan Chen
My current research focuses on college student entrepreneurship status and initiatives.
Kirstan Gimse
CRISPR-Cas gene editing in the brain for the treatment of neurodegenerative disorders
Spencer Haws
Interrogating the metabolism-epigenome axis within a stem cell model of human aging
Suvojit Hazra
Development and application of Machine Learning (ML) methods for the analysis of scRNA-Seq datasets
Sungsik Kong
Inferring phylogenetic networks and reticulate evolution from genomic data
Jeongyeol Kwon
Inference and decision-making with missing or unobserved information.
Jasper Lee
Designing practical, data-efficient algorithms with rigorous guarantees for statistical applications
Pragyan Mishra
To understand the activation mechanism of p300/CBP protein acetyltransferase by acyl-CoA metabolism.
Stefan Pietrzak
Transcriptional and epigenetic mechanisms regulating cellular differentiation and reprogramming
Min Zhu
Nanoparticles for delivery of therapeutic agents and with gene-editing