Ph.D., Mathematics 2017
University of Tulsa Tulsa, OK
M.S., Mathematics 2013
University of Tulsa Tulsa, OK
B.S., Mathematics 2013
University of Tulsa Tulsa, OK
B.S., Geology 2013
University of Tulsa Tulsa, OK
Professional Experience
Postdoctoral fellow 2018-
University of Pennsylvania Philadelphia, PA
Graduate intern 2016-2017
Laureate Institute for Brain Research Tulsa, OK
Graduate research assistant 2015-2017
University of Tulsa Tulsa, OK
Undergraduate research assistant 2012-2013
University of Tulsa Tulsa, OK
Select Software Packages
npdr: Select features with nearest-neighbor concepts (2019)
a nearest-neighbor feature selection algorithm that fits a generalized linear model for projected distances of a given attribute over all pairs of instances in a neighborhood. In the NPDR model, the predictor is the attribute distance between neighbors projected onto the attribute dimension, and the outcome is the projected phenotype distance (for quantitative traits) or hit/miss (for case/control) between all pairs of nearest neighbor instances.
privateEC: Differential privacy for machine learning (2017)
a stochastic privacy-preserving machine learning algorithm that uses ReliefF for feature selection and random forest for privacy preserving classification.
stir: ReliefF on steroid (2018)
Precursor of npdr
Courses and Workshops
Introduction to R seminar, University of Tulsa, Aug 25, 2017
An immersive, “bootcamp” styled seminar designed to rapidly build student proficiency in R programming. The seminar is conducted over a long weekend or similarly condensed timeframe in a computer laboratory setting.
Precalculus instructor, University of Tulsa, Jan 11, 2016
I prepare 30+ students for the study of calculus.
Calculus I & II teaching assistant, University of Tulsa, Jan 13, 2014
I lead Calculus I & II problem-solving sections and design and grade quizzes. I had 200+ students over the course of four semesters.
Natural science tutors, University of Tulsa, Feb 7, 2011
I tutor students (including many student athletes) in math, physics and chemistry. I also worked in Math Lab - a free, walk-in tutor service for students at all levels.
Presentations
Multilocus risk scores, Penn Genetics Retreat, Sep 4, 2019
TPOT: Overview and live demonstration, Clinical Research Informatics Core, University of Pennsylvania, Mar 13, 2019
STIR feature selection, Pacific Symposium on Biocomputing, Jan 5, 2019
Scalable automated machine learning, AI Therapeutics, Dec 21, 2018
Transcriptomics of Brain Age Gap Estimate, Society of Biological Psychiatry Meeting, May 11, 2018
Transcriptomics of Brain Age Gap Estimate (BrainAGE): association analysis of depressed and healthy individuals
Deciphering interdependent immunologic biomarkers of lupus, DBEI and CCEB Research Day, University of Pennsylvania, Apr 10, 2018
Integrative network analysis for major depressive disorder, Organization for Human Brain Mapping Meeting, Jun 28, 2017
Integrative network analysis of resting-state fMRI and RNA-Seq data for major depressive disorder
Optimized random forest classification accuracy, International Conference on Integral Methods in Science and Engineering, Jul 25, 2016
Optimized random forest classification accuracy by privacy-preserving simulated evaporative cooling feature selection
Spread of Avian influenza pandemic to USA via air travel, Society for Industrial and Applied Mathematics Meeting, 2013
Spread of Avian influenza pandemic to USA via air travel, American Mathematics Society Sectional Meeting, 2013
Structural and practical identifiability issues of epidemic models, American Institute of Mathematical Sciences Meeting, 2016
Mathematical analysis of the spread of HIV/AIDS using SEAIT model, Research Colloquium, University of Tulsa, 2013
Structural identifiability issues of epidemic models, Joint Mathematics Meeting, 2016
Structural identifiability issues of epidemiological models, International Conference on Integral Methods in Science and Engineering Special Session, 2015
Simulation and identification of synchronization in resting-state fMRI networks, Research Colloquium, University of Tulsa, 2015
Publications
Trang T Le, Weixuan Fu and Jason H Moore (2019) Scaling tree-based automated machine learning to biomedical big data with a feature set selector.
doi:10.1093/bioinformatics/btz470
Trang T Le, Ryan J Urbanowicz, Jason H Moore and Brett A McKinney (2018) STatistical Inference Relief (STIR) feature selection.
doi:10.1093/bioinformatics/bty788
Trang T. Le, Rayus Kuplicki, Brett A. McKinney, Hung-wen Yeh, Wesley K. Thompson, Martin P. Paulus and NA NA (2018, preprint) A nonlinear simulation framework supports adjusting for age when analyzing BrainAGE.
doi:10.1101/377648
Trang T. Le, Rayus Kuplicki, Hung-Wen Yeh, Robin L. Aupperle, Sahib S. Khalsa, W. Kyle Simmons and Martin P. Paulus (2018) Effect of Ibuprofen on BrainAGE: A Randomized, Placebo-Controlled, Dose-Response Exploratory Study.
doi:10.1016/j.bpsc.2018.05.002
Trang T Lê, Zach Osman, D K Watson, Martin Dunn and B A McKinney (2019) Generalization of the Fermi pseudopotential.
doi:10.1088/1402-4896/ab0811
Trang T Le, Weixuan Fu and Jason H Moore (2018, preprint) Scaling tree-based automated machine learning to biomedical big data with a dataset selector.
doi:10.1101/502484
Necibe Tuncer and Trang T. Le (2018) Structural and practical identifiability analysis of outbreak models.
doi:10.1016/j.mbs.2018.02.004
Sahib S. Khalsa, ..., Trang T Le, ... and Nancy Zucker (2017) Interoception and Mental Health: A Roadmap.
doi:10.1016/j.bpsc.2017.12.004
Trang T Le, W Kyle Simmons, Masaya Misaki, Jerzy Bodurka, Bill C White, Jonathan Savitz and Brett A McKinney (2017) Differential privacy-based evaporative cooling feature selection and classification with relief-F and random forests.
doi:10.1093/bioinformatics/btx298
Necibe Tuncer and Trang Le (2014) Effect of air travel on the spread of an avian influenza pandemic to the United States.
doi:10.1016/j.ijcip.2014.02.001