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Collaborators

Graduate students
  1. Katharine Turner: U Chicago
  2. Matt Weiser: UNC
  3. Brian St. Thomas: Duke
  4. Brad Moore: Duke
  5. Nick Jarrett: Duke
  6. Lorin Crawford: Duke
  7. Merve Cakir: Duke
  8. Allen Xiao: Duke
Postdoctoral fellows
  1. Kevin McGoff: Duke
  2. Omer Bobrowski: Duke
  3. Jesse Windle: Duke
  4. Anthea Monod: Duke
  5. Chuan Gao: Duke
Former graduate students
  1. Elena Edelman: Novartis
  2. Natesh Pillai: Harvard
  3. Justin Guinney: Sage Bionetworks, Fred Huchinson Cancer Center
  4. Kai Mao: Finance
  5. Simon Lunagomez: Harvard
  6. Bei Wang: Utah
  7. Stoyan Georgiev: Google
  8. P Richard Hahn: U Chicago
  9. Brian Bennett: NIEHS
  10. Lingling Zhang: PPD
  11. Dan Runcie: UC Davis
  12. John Steenbergen: UIC
  13. Daniel Heard: USAA
Former postdoctoral fellows
  1. Qiang Wu: Middle Tennessee State
  2. Artin Armagan: SAS
  3. Qing Xiong: Southwest University, China
  4. Ioanna Manolopoulou: UCL
  5. Garvesh Raskutti: Wisconsin
  6. Sandra Batista: Princeton
  7. Xin Guo: Hong Kong Polytechnic University
Geometry and topology projects
  1. Mauro Maggioni: Diffusion geometries, manifold learning, function estimation on manifolds, inference on manifolds.
  2. John Harer: Computational topology, inference of stratified spaces, dynamical systems.
  3. Konstantin Mischaikow: Computational topology, dynamical systems.
  4. Matthew Kahle: Random geometric complexes, Laplacian on forms.
  5. Yusu Wang: Statistical inference and computational geometry.
  6. Misha Belkin: Geometry in probabilistic modeling.
Learning theory projects
  1. Ding-Xuan Zhou: Learning on manifolds.
  2. Partha Niyogi:
Probabilistic modeling projects
  1. Mike West: Inference in high-dimensions.
  2. Robert Wolpert: Theoretical topics in Bayesian analysis.
Cancer biology projects
  1. Phillip G Febbo: Biology of prostate cancer.
  2. Jen-Tsan Ashley Chi: Tumor micro-environment.
Computational and systems biology projects
  1. Terry Furey: Integration of genomic data, joint models over genomic assays.
  2. Beth Hauser: Statistical genomics, high-dimensional simulations of sequence and gene expression models.
  3. Uwe Ohler: Modeling high-throughput data for gene expression and regulation.
  4. Steve Haase: Yeast cell cycle.
  5. Jun Zhang: Coalescent models and inference of population structure.
Evolutionary and ecological projects
  1. Jenny Tung: The interaction of genetics and behavior.
  2. Katia Koelle: Stochastic models of dynamics in infectious diseases.