Hyunju Kim, Ph.D., Physics, University of Notre Dame, 2011. Currently a post-doctoral researcher with Prof. Paul Davies, Arizona State University.
Anna Ritz, Ph.D., Computer Science, Brown University, 2012. Currently an Associate Professor in the Department of Biology, Reed College.
Allison Tegge, Ph.D., Informatics, University of Missouri, Columbia, 2012. Co-advised by Padma Rajagopalan. Supported by an F32 fellowship from the National Institute for Environmental Health Sciences. Currently a Research Assistant Professor in the Department of Statistics, Virginia Tech.
Former Ph. D. students
Jeffrey N. Law, Ph.D., Genetics, Bioinformatics, and Computational Biology, 2020, Development and Application of Network Algorithms for Prediction of Gene Function and Response to Viral Infection and Chemicals. Currently a post-doctoral fellow at the National Renewable Energy Laboratory.
Aditya Bharadwaj, Ph.D., Computer Science, 2020, Mixed-initiative methods for following design guidelines in creative tasks. Currently at B12 Solutions.
Aditya Pratapa, Ph.D., Computer Science, experiment design, 2020, Algorithms for regulatory network inference and experiment planning in systems biology. Currently a post-doctoral fellow at the Broad Institute of Harvard and MIT.
Amogh Jalihal, Ph.D., Genetics, Bioinformatics, and Computational Biology, 2020, co-advised with John Tyson, Mathematical modeling of macronutrient signaling in Saccharomyces cerevisiae. Currently a post-doctoral fellow in the Department of Systems Biology at the Harvard Medical School.
Ahsanur Rahman, Ph.D., Computer Science, 2015, Unstable Communities in Network Ensembles. Currently an Assistant Professor in the Department of Electrical and Computer Engineering Department in North South University, Dhaka, Bangladesh.
Malabika Sen, M.S., Computer Science, 2021, Supervised Inference of Gene Regulatory Networks.
Tanya Tyagi, M.S., Computer Science, 2020, Benchmarking Methods For Predicting Phenotype Gene Associations. Currently at Amazon.
Dhruva Sahasrabudhe, M.S., Computer Science, 2020, A Multimodal Graph Convolutional Approach to Predict Genes Associated with Rare Genetic Diseases. Currently at Amazon.
Gregory A. Grothaus, M. S., Computer Science, 2005, biologically interpretable disease classifiers. Now at Google.
Srinivas Venkataraghavan, M. S. (Computer Science), 2005, co-advised with Brett Tyler, biclustering algorithms for promotor analysis
Shivaram Narayanan, M. S., Computer Science, 2005, betweenness centrality of biological networks. Now at SWIFT.
Former undergraduate students
Jacqueline Addesa, Computer Science and Mathematics, Summer and Fall 2010, Cellular response networks, supported in Summer 2010 by a Summer Research Fellowship from the Fralin Life Sciences Institute.
Brendan Avent, Computer Science, Economics, Mathematics, Statistics, 2014-2015, hypergraph algorithms (now a Ph.D. student in the Department of Computer Science at the University of Southern California
David Badger, Computer Science, 2006-2007, gene function prediction
Peter Burnham, Biochemistry, 2011-2015, viral dependency factors, now a Ph.D. student in molecular microbiology at the University of Texas Southwestern Medical Center
Andrew Chan, B.S., Computer Science, 2022, prediction of viral hosts
Naveed Massjouni, Computer Science, 2005-2006, the VIRGO web server, now at Rackspace, after an M. S. in the Department of Computer Science at Virginia Tech
Anthony McNevin, Computer Science, 2006-2007, compositional data mining
Adeel Mufti, Computer Science, 2005-2006, automatic layout and visualisation of biclusters, now at Information Delivery Systems
Clifford Conley Owens, Computer Science, 2006-2007, co-advised with Naren Ramakrishnan, pursuit of truthiness and mining truth tables, now at Google, after an M. S. in the Department of Computer Science at Virginia Tech
Arif Khokhar, Computer Science, 2006-2007, biclustering algorithms
Paul Robertson, Computer Science, Summer and Fall 2011, databases for systems biology, now at Rackspace
Sarah Sam, Biological Sciences and Neuroscience, 2014-2016, Pathway crosstalk and XTalkDB, now a Ph.D. student in the Department of Neuroscience at Caltech
Nick Sharp, Computer Science, Engineering Physics, Mathematics, k-shortest path algorithms, 2014-2015 (now a Ph.D. student in Computer Science at CMU)
Rajat Singhania 2004-2005, co-advised with Brett Tyler, algorithms for physical map assembly, now a PhD student in the GBCB programme at Virginia Tech
Peter Steele, Computer Science, shortest-path algorithms, 2015-2016
Anika Thatavarthy, B.S., Computer Science, 2023, prediction of viral hosts
Shomir Wilson (Computer Science, Mathematics, and Philosophy, 2004-2005, Honours thesis, co-advised with Brett Tyler, gene function prediction using functional linkage networks, now a post-doctoral research associate in the School for Computer Science at CMU, after a PhD in the Department of Computer Science at the University of Maryland