Lam Si Tung Ho

Education

• 2009-2014, Ph.D. in Statistics, Department of Statistics, University of Wisconsin-Madison, WI, USA.
• 2008-2009, M.S. in Applied Mathematics, MAPMO, Université d'Orléans, Orléans, France.
• 2004-2008, B.S. in Mathematics, Department of Mathematics, University of Science-Ho Chi Minh City, Ho Chi Minh City, Viet Nam.

Research Interests

• Statistical Theory and Methods
• Stochastic Modeling
• Mathematical Biology
• Machine Learning
• Evolutionary Biology
• Epidemiology

Awards

• Publisher's Award 2014 (Society of Systematic Biologists)

Programs

• phylolm: R package for fitting phylogenetic (generalized) linear regression models.
  CRAN, Github
• MultiBD: R package for direct likelihood-based inference of multivariate birth-death processes.
  CRAN, Github

Publications

Submitted

1. Lam Si Tung Ho, Forrest W. Crawford, Marc A. Suchard. Direct likelihood-based inference for discretely observed stochastic compartmental models of infectious disease. arXiv


2. Lam Si Tung Ho, Jason Xu, Forrest W. Crawford, Vladimir N. Minin, Marc A. Suchard. Birth(death)/birth-death processes and their computable transition probabilities with statistical applications. arXiv


3. Cuong V. Nguyen, Lam Si Tung Ho, Huan Xu, Vu Dinh, Binh Nguyen. Bayesian Pool-based Active Learning with Abstention Feedbacks. arXiv

Published

1. Vu Dinh*, Lam Si Tung Ho*, Marc A. Suchard, Frederick A Matsen IV (2017). Consistency and convergence rate of phylogenetic inference via regularization. The Annals of Statistics. Accepted. arXiv (*Authors contributed equally)


2. Mandev S. Gill, Lam Si Tung Ho, Guy Baele, Philippe Lemey, Marc A. Suchard (2017). A Relaxed Drift Diffusion Model for Phylogenetic Trait Evolution. Systematic Biology. 66(3):299-319. arXiv


3. Cécile Ané*, Lam Si Tung Ho*, Sebastien Roch* (2017). Phase transition on the convergence rate of parameter estimation under an Ornstein-Uhlenbeck diffusion on a tree. Journal of Mathematical Biology. 74(1):355-385. arXiv (*Authors are in alphabetical order)


4. Vu Dinh, Lam Si Tung Ho, Binh T. Nguyen, Duy Nguyen (2016). Fast learning rates with heavy-tailed losses. Neural Information Processing Systems (NIPS). arXiv


5. David A. Baum, Cécile Ané, Bret Larget, Claudia Solís-Lemus, Lam Si Tung Ho, Peggy Boone, Chloe Drummond, Martin Bontrager, Steve Hunter, Bill Saucier (2016). Statistical evidence for common ancestry: Application to Primates. Evolution. 70(6):1354-1363.


6. Daniel Irving Bernstein*, Lam Si Tung Ho*, Colby Long*, Mike Steel*, Katherine St. John*, Seth Sullivant* (2015). Bounds on the Expected Size of the Maximum Agreement Subtree. SIAM Journal on Discrete Mathematics. 29(4):2065-2074. arXiv (*Authors are in alphabetical order)


7. Vu Dinh*, Lam Si Tung Ho*, Nguyen Viet Cuong, Duy Nguyen, Binh T. Nguyen (2015). Learning From Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers. Theory and Applications of Models of Computation (TAMC). arXiv (*Authors contributed equally)


8. Lam Si Tung Ho, Cécile Ané (2014). Intrinsic inference difficulties for trait evolution with Ornstein-Uhlenbeck models. Methods in Ecology and Evolution. 5(11):1133-1146.


9. Lam Si Tung Ho, Cécile Ané (2014). A linear-time algorithm for Gaussian and non-Gaussian trait evolution models. Systematic Biology. 63(3):397-408. Publisher's Award 2014


10. Tran Triet, Jeb Anthony Barzen, Sansanee Choowaew, Jon Mike Engels, Duong Van Ni, Nguyen Anh Mai, Khamla Inkhavilay, Kim Soben, Rath Sethik, Bhuvadol Gomontean, Le Xuan Thuyen, Aung Kyi, Nguyen Huy Du, Richard Nordheim, Lam Si Tung Ho, Dorn M. Moore, Scott Wilson (2014). Persistent Organic Pollutants in wetlands of the Mekong Basin. U.S. Geological Survey Scientific Investigations Report 2013-5196, 140 p.


11. Lam Si Tung Ho, Cécile Ané (2013). Asymptotic theory with hierarchical autocorrelation: Ornstein-Uhlenbeck tree models. The Annals of Statistics 41(2):957-981. arXiv


12. Nguyen Viet Cuong, Lam Si Tung Ho, Vu Dinh (2013). Generalization and Robustness of Batched Weighted Average Algorithm with V-geometrically Ergodic Markov Data. International Conference on Algorithmic Learning Theory (ALT). arXiv


13. Nguyen Viet Cuong, Vu Dinh, Lam Si Tung Ho (2012). Mel-frequency Cepstral Coefficients for Eye Movement Identification. IEEE International Conference on Tools with Artificial Intelligence (ICTAI).


14. Duong Minh Duc*, Ho Si Tung Lam*, Nguyen Quang Thang*, Dinh Cao Duy Thien Vu* (2011). On Harnack's inequality for non-uniformly p-Laplacian equations. Acta Mathematica Vietnamica 36(2):199-214. (*Authors are in alphabetical order)