Postdoctoral Associates
WID Postdocs expand the institute’s research portfolio and expertise, bringing new perspectives to bear on problems.
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Ahmet Alacaoglu
Continuous optimization for machine learning, reinforcement learning and other data science problems
Claire Bergey
Claire's research aims to explain how children learn to communicate and to use communicative structure to learn about words and concepts.
Qingqing Deng
Design, synthesize, and evaluate nanoparticles to deliver drugs specifically to targeted organs
Lijun Ding
Developing optimization algorithms that are both computationally and statistically efficient
Jinsu Gim
Injection molding, Polymer processing, Process monitoring and optimization
Kirstan Gimse
CRISPR-Cas gene editing in the brain for the treatment of neurodegenerative disorders
Ziyi Han
The design of bioactive materials, such as exosomes, bacteria, and cells for disease treatment, especially microbiome-related disease and immunotherapy.
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
Sushrut Karmalkar
Designing efficient estimators which are robust to aggressive noise models
Gavin Knight
Engineering organotypic 2D CNS tissues from human pluripotent stem cells
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.
Ben Rush
I work to determine antibiotic resistance in bacteria by analyzing images and genomes using AI.
Junha Shin
Bioinformatics based on networks and large-scale quantitative genomics.