|Beulah Agyemang-Barimah||1st Year - Rotating|
|Siddharth Avadhanam (Williams)|
|Juan Beltran (tbd)||Interested in reapplications of machine learning algorithms in cross-domain or sparse environments, particularly towards a better understanding of functional genomics.|
|Ayon Borthakur (Cleland)||Developing neuroscience inspired low power embedded processor algorithms for solving artificial intelligence tasks such as in chemosensory systems and healthcare|
|Ian Caldas (Clark/Messer)||Interested in applying computational methods, statistics and machine learning to questions about the evolutionary history of populations and species.|
|Tinyi Chu (Danko)||Developing Bioinformatics tools and addressing biological questions using state of-art machine learning and statistical learning algorithms.|
|Shagun Gupta||1st Year - Rotating|
|Adam He (tbd)|
|Using ancestral recombination graphs for inference in population genetics, especially demographic reconstruction of human populations.|
|Olivia Lang (Brito)|
|Discovering trends and patterns in biological datasets, such as protein network disruption datasets and drug-drug interaction datasets, with statistical methods and machine learning tools.|
|Madhav Mantri||1st Year - Rotating|
|Manisha Munasinghe (Clark)||
Interested in constructing models to examine the underlying population genetics of genetic conflict, particularly as it applies to mitochondrial-nuclear interactions, sexual antagonism, and the evolution of sex chromosomes.
|Interested in both developing machine learning techniques to aid in the identification of transcription unit boundaries, and in improving our understanding of chromatin structure and how it affects gene regulation.|
|Nathan Oakes (Messer)||
Characterizing the dynamics of rapid evolution in complex demographics.
|Ying Qiao (Williams)||Developing statistical and computational methods to understand the relationship of DNA replication timing and mutational landscape of the genome.|
Afrah Shafquat (Mezey)
|Developing statistical and computational methods to identify biomarkers associated with complex phenotypes.|
|Runxi Shen (Messer)||
Runxi's research focuses on investigating the pesticide resistance alleles in mosquitoes through a novel method called bulk segregant analysis and building up computational and mathematical models for exploring population genetics.
|Michael Wang (De Vlaminck)||To better understand immune cell dynamics and viral infections through the development of high throughput single cell sequencing technologies and analysis.|
|Shayne Wierbowski (Yu)||
Interested in studying protein networks, including protein-protein interactions, the structural features relevant to protein interactions, and their functional implications. Particular interest in determining the functional role gene-fusion events in cancer play in re-wiring protein networks.
|Li Yao||1st Year - Rotating|
|Junke Zhang (Yu)||
Interested in using computational and statistical methods to study protein functions and protein-protein interactions in human diseases. Currently working on questions about gene fusions in cancer.
|TRI-I COMPUTATIONAL BIOLOGY & MEDICINE||RESEARCH FOCUS|
|Daniel Seidman (Williams)||
Developing a computational method that finds and gives statistical confidence to IBD segments by comparing their probabilities under an IBD vs nonIBD model using a compressed reference genome set.
|Nathaniel Tippens (Yu/Lis)||
Developing an experimental technique to map all protein-DNA interactions in accessible regions of the genome. I am interested in applying this and other genomic techniques to study the transcriptional mechanisms that specify cellular identity.
|Yiping Wang (Gu)||Developing a new constraint-based computational method called FALCON, to predict metabolic flux distributions using gene expression.|