I developed a data processing pipeline to convert RNA-Seq data to matched Alpha-Beta TCRs from 30 human patients across 7 years. I also developed a suite of statistical and data science analysis tools to determine how the TCR repertoire changes with aging and across the 7 year gap.
I developed a predictive framework consisting of CFD-FSI simulations and image-processing techniques to quantify particle bending due to changes in the particle’s mechanical properties.
Researched and developed methods for CFD-FSI simulations to model and quantify particle transport dynamics in constricted flow geometries
I developed an innovative vectorization algorithm for my CFD-FSI simulations to speed up intra-particle interaction computations. Benchmarked against other methods, the vectorization results in an approximately 100x decrease in computation times.
I developed methods and algorithms to model the dynamics of rigid fiber-like particles and analyze their clogging properties around flow corners/bends in microfluidic devices.
I developed a neural network to solve partial differential equations that govern fundamental phenomena.
Using quantifiable metrics of NBA All-Stars, I built 4 machine learning classification models (logistic regression, support vector, random forest, gradient boost classifier) to predict which players from the 2019 NBA Draft were most likely to become all-stars based on their college statistics.
Using a large-scale database of food images (https://data.vision.ee.ethz.ch/cvl/datasets_extra/food-101/), I built a MobileV2Net convolutional neural network (CNN) to classify approximately 5,000 images into 101 distinct food dishes.
Used the libroadrunner Python library to implement pharmacokinetic (PK) models and SBML simulations of how the body processes caffeine due to ingestion of caffeine-based food products.
Published in The Journal of Immunology, 2020
Authors: Annette Ko; Masashi Watanabe; Thomas Nguyen; Alvin Shi; Achouak Achour; Baojun Zhang; Xiaoping Sun; Qun Wang; Yuan Zhuang; Nan-ping Weng; Richard J. Hodes
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Published in The Journal of Clinical Investigation, 2022
Authors: Xiaoping Sun; Thomas Nguyen; Achouak Achour; Annette Ko; Jeffrey Cifello; Chen Ling; Jay Sharma; Toyoko Hiroi; Yongqing Zhang; Chee W. Chia; William Wood III; Wells W. Wu; Linda Zuckley; Je-Nie Phue; Kevin G. Becker; Rong-Fong Shen; Luigi Ferrucci; Nan-ping Weng
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Published in Nature Communications, 2022
Authors: Jian Lu; Raheel Ahmad; Thomas Nguyen; Jeffrey Cifello; Humza Hemani; Jiangyuan Li; Jinguo Chen; Siyi Li; Jing Wang; Achouak Achour; Joseph Chen; Meagan Colie; Ana Lustig; Christopher Dunn; Linda Zukley; Chee W. Chia; Irina Burd; Jun Zhu; Luigi Ferrucci; Nan-ping Weng
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Published in Immunity & Ageing, 2022
Authors: Jian Lu; Guobing Chen; Arina Sorokina; Thomas Nguyen; Tonya Wallace; Cuong Nguyen; Christopher Dunn; Stephanie Wang; Samantha Ellis; Guixin Shi; Julia McKelvey; Alexi Sharov; Yu-Tsueng Liu; Jonathan Schneck; Nan-ping Weng
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Published in Frontiers in Soft Matter, 2023
Authors: Thomas Nguyen; Harishankar Manikantan
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Published in Frontiers in Immunology, 2023
Authors: Jaekwan Kim; Thomas Nguyen; Jeffrey Cifello; Raheel Ahmad; Yongqing Zhang; Qian Yang; Ji-Eun Lee; Xiang Li; Yan Kai; Supriyo De; Weiqun Peng; Kai Ge; Nan-ping Weng
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Published in Soft Matter, 2024
Authors: Thomas Nguyen; Harishankar Manikantan
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.
