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
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
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
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.
Zhen Peng
Theoretical research on the emergence of life-like systems from chemical reaction networks
Tolulope Perrin-Stowe
Relationship between genomes and their environments to predict organisms' fitness correlations.
Saptarshi Pyne
Development of computational methods for inference and analysis of biological networks
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.
Jayaraman Tharmalingam
Integrate computational and experimental models of host-pathogen interaction in bacterial infections