Experience

The University of Texas Health Science Center at Houston (UTHealth) School of Public Health

• United States
• Higher Education
• 200 - 300 Employee

• Graduate Research Assistant

  • Aug 2020 - Present

  Improving Response-adaptive Randomization Methods through Dynamic Incorporation of Primary and Surrogate Endpoints • Developed a novel response-adaptive randomization design using both primary and surrogate endpoints in a frequentist framework • Decreased the exposure to the inferior treatment compared to the standard response-adaptive randomization and equal randomization designs while maintaining power • Built an R package for implementation and application in clinical trials CATCH Healthy Smiles: An Elementary School Oral Health Intervention Trial • Performed randomization to ensure balanced treatment allocation and interim analysis for study monitoring • Prepared statistical reports for clinical monitoring and the Data and Safety Monitoring Board (DSMB) meetings and contributed to publications • Provided statistical consultation and guidance to researchers and investigators Leveraging FITBIR Data to Improve Clinical Practice of Severe Traumatic Brain Injury • Developed and validated machine learning methods that assessed the association of multimodal longitudinal physiological variables with long-term neurological outcomes • Harmonized and curated data from various multi-center clinical trial studies Show less



Genentech

• United States
• Biotechnology Research
• 700 & Above Employee

• Data Scientist Intern, Product Development Data Sciences

  • May 2022 - Aug 2022

  Patient Subtyping with Graph-based Deep Learning Algorithm Using Multimodal Data • Built graph neural network (GNN) pipelines for patient subtyping using multimodality with PyTorch in a cloud-based analytics environment • Benchmarked subgrouping performances by implementing other unsupervised machine-learning algorithms • Analyzed real-world data (RWD) of metastatic breast cancers consisting of electronic health records (EHRs) and genomic profiling assays from the Flatiron Health-Foundation Medicine Clinico-Genomic Database • Imputed missing values with a non-parametric method for mixed-type data and adjusted left-truncation bias with a risk-set adjusted Cox model Show less



MD Anderson Cancer Center

• United States
• Hospitals and Health Care
• 700 & Above Employee

• Graduate Research Assistant

  • Aug 2018 - Jul 2020

  Statistical Methods for Genomic Analysis of Heterogeneous Tumors • Established tumor transcriptome deconvolution analysis pipeline to understand the tumor microenvironment (TME) using available gene expression cancer consortium, i.e., TCGA • Researched cell-type classification with high dimensional scRNA-seq data using dimensionality reduction techniques and unsupervised learning algorithms • Benchmarked deconvolution methods using cell-type-specific gene expression from scRNA-seq data to characterize cell-type compositions found in bulk RNA-seq data in complex tissues Risk Prediction for Li-Fraumeni Syndrome: A Practical Tool for Clinical Health Care Providers • Built LFSPRO, an R package for TP53 germline mutation carrier estimation and cancer risk predictions, which outperformed typical clinical diagnostic criteria • Validated the LFSPRO predictions of penetrance estimates from a competing risk-based statistical model trained on 186 pediatric-sarcoma families collected at MD Anderson Cancer Center via two independent cohorts Show less



Cleveland Clinic

• United States
• Hospitals and Health Care
• 700 & Above Employee

• Biostatistics Visiting Researcher

  • Jul 2017 - Jul 2018

  • Performed feature selection techniques, multiple regressions, tree-based methods, and regularization regressions to examine the risk factors of patients undergoing elective posterior lumbar decompression • Provided statistical consulting for other researchers and clinicians at the institute • Performed feature selection techniques, multiple regressions, tree-based methods, and regularization regressions to examine the risk factors of patients undergoing elective posterior lumbar decompression • Provided statistical consulting for other researchers and clinicians at the institute