Ahmet Alacaoglu
Continuous optimization for machine learning, reinforcement learning and other data science problems
WID Postdocs expand the institute’s research portfolio and expertise, bringing new perspectives to bear on problems.
View:
Continuous optimization for machine learning, reinforcement learning and other data science problems
Claire's research aims to explain how children learn to communicate and to use communicative structure to learn about words and concepts.
My current research focuses on college student entrepreneurship status and initiatives.
CRISPR-Cas gene editing in the brain for the treatment of neurodegenerative disorders
Interrogating the metabolism-epigenome axis within a stem cell model of human aging
Development and application of Machine Learning (ML) methods for the analysis of scRNA-Seq datasets
Designing practical, data-efficient algorithms with rigorous guarantees for statistical applications
To understand the activation mechanism of p300/CBP protein acetyltransferase by acyl-CoA metabolism.
Transcriptional and epigenetic mechanisms regulating cellular differentiation and reprogramming