Experience

SOJO

• Canada
• Program Development
• 1 - 100 Employee

• Co-Founder

  • Mar 2023 - Present

  Houston, Texas, United States Sojo: A SaaS platform that smooths the interactions between music therapists and patients before, during, and after sessions. Our Achievements: - Demo-ed at Houston Methodist Hospital - Won Frank Liu Jr. Prize for Creative Innovations in Music, Fashion, & the Arts and $2500 free-equity prize. What’s Next: - Stress test & Pilot Study with Houston Methodist - Partnerships with other medical for-profit and non-profit institutions



BioBoat

• France
• Construction

• PR Team Member

  • Sep 2022 - Present

  An independent Life Sciences Youth Community in the global international student community. • Organized regular biweekly seminars by guest speakers in various fields of biomedicine, including synthetic biology, regenerative medicine, neurodegenerative diseases, regulatory matters, career workshop, etc. • Connected resources and established collaborative connections across academia, industry, and capitals, including VCs (e.g., Amino, Sequoia, Miracle plus, Vision plus, Lake Bleu… Show more An independent Life Sciences Youth Community in the global international student community. • Organized regular biweekly seminars by guest speakers in various fields of biomedicine, including synthetic biology, regenerative medicine, neurodegenerative diseases, regulatory matters, career workshop, etc. • Connected resources and established collaborative connections across academia, industry, and capitals, including VCs (e.g., Amino, Sequoia, Miracle plus, Vision plus, Lake Bleu Capital), investment firms (e.g., Addor Capital), accelerators (e.g., Quadratic Acceleration Quantum), and biopharma consulting companies (e.g. BenHealth). Show less



Harvard Medical School

• United States
• Higher Education
• 700 & Above Employee

• Summer Research Intern

  • May 2023 - Aug 2023

  Under supervision of Dr. Kaifu Chen (https://kaifuchenlab.github.io/1.research/) • Focus on nanopore sequencing and RNA modification detection & quantification (cannot disclose too much detail for now until my two ongoing projects are finalized).



Quadratic Acceleration Quantum

• Financial Services

• Undergraduate Intern

  • May 2023 - Aug 2023

  Content Creation Position o Contributed to writing a 50-page chapter on “AI-driven Bioscience” for the Chinese book AI for Science. o Invited by Du Yu (杜雨) (ex-VP of Sequoia Capital in China and now in QAQ) and Addor Capital; focused on AI’s impact on drug development, gene sequencing & editing, and synthetic biology; scheduled for publication in March 2024.



MD Anderson Cancer Center

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

• Undergraduate Researcher (returning intern)

  • Jan 2023 - May 2023

  Under supervision of Dr. Christopher A. Bristow and Dr. Fangyang Wang • Adapted DeepSTARR (predict enhancer activity from short DNA sequences) on human H3K27ac chip-seq data to examine if an enhancer was universally activated (“housekeeping”) or specific to DOHH2 (“developmental”). • Through transfer learning and Bayesian optimization with early stopping, housekeeping and developmental enhancers obtained precision, recall, and AUC of 0.55, 0.10, 0.82 and 0.53, 0.14, 0.56, respectively.



Rice University School of Engineering

• United States
• Higher Education
• 1 - 100 Employee

• Undergraduate Research Assistant

  • Jun 2022 - Apr 2023

  Under supervision of Dr. Meng Li (https://meng.rice.edu) • Processed MIMIC IV data for dynamic prediction of acute kidney injury after cardiac surgery in 48 hours based on 12-hour sliding window using LSTM. Achieved accuracy, balanced accuracy, AUC of 0.777, 0.758, 0.822, optimized by Ray Tune. Compared result with ensemble models by AutoGluon. Prep manuscript for publication.

• Undergraduate Research Assistant

  • Sep 2020 - Dec 2022

  Under supervision of Dr. Qingbo Zhang in Dr. Gang Bao's lab (http://bao.rice.edu/#) • Performed synthesis of magnetic nanoparticles & nanoclusters applied to magnetic hyperthermia optimization. • Rendered simulation of nanoparticle spin under 3 conditions (low, moderate, and high exchange) by Python and mayavi package, with an improvement of around eight times smoother using 3D interpolation than the previous.



Komen Breast Cancer Foundation

• United States
• Hospitals and Health Care

• Computational Biology Hackathon Team Member (the only undergrad)

  • Mar 2023 - Mar 2023

  Dallas, Texas, United States Under supervision of Dr. Chi Zhang (https://medicine.iu.edu/faculty/27057/zhang-chi) from Indiana University School of Medicine My contribution: • Predicted metabolic flux of central metabolism pathways per sample in scRNA-seq & TCGA data by the model MPOSNN. Performed cell clustering on metabolic flux and correlation analysis of metabolic flux. Team contribution: • Performed differential flux analysis. Detected 10 novel metabolic clusters. Observed higher lactate secretion &… Show more Under supervision of Dr. Chi Zhang (https://medicine.iu.edu/faculty/27057/zhang-chi) from Indiana University School of Medicine My contribution: • Predicted metabolic flux of central metabolism pathways per sample in scRNA-seq & TCGA data by the model MPOSNN. Performed cell clustering on metabolic flux and correlation analysis of metabolic flux. Team contribution: • Performed differential flux analysis. Detected 10 novel metabolic clusters. Observed higher lactate secretion & glycolytic metabolism in TNBC TCGA samples & scRNA-seq clusters. Revealed glucose metabolism’s positive association with estrogen receptor, cell-cell interaction, signaling pathways in breast cancer and negative association with prognosis in TNBC. Show less

• Undergraduate Research Assistant

  • Jun 2022 - Aug 2022

  Houston, Texas, United States Under supervision of Dr. Christopher A. Bristow • Performed statistical analyses on high-throughput RBP resource and regulatory network from five types of RBP; explored relations between true, false, and potential RBPs defined by threshold of six; deployed an app for display. • RNAbinding-GO-Hs achieved highest 76% precision & 0.920 AUC; two-sample Wilcoxon Rank Sum test, Fisher exact test, Bonf corrected p-values and odds ratios confirmed greater resemblance between true & potential… Show more Under supervision of Dr. Christopher A. Bristow • Performed statistical analyses on high-throughput RBP resource and regulatory network from five types of RBP; explored relations between true, false, and potential RBPs defined by threshold of six; deployed an app for display. • RNAbinding-GO-Hs achieved highest 76% precision & 0.920 AUC; two-sample Wilcoxon Rank Sum test, Fisher exact test, Bonf corrected p-values and odds ratios confirmed greater resemblance between true & potential RBPs. Show less



Stanford University

• United States
• Higher Education
• 700 & Above Employee

• Undergraduate Researcher

  • Sep 2019 - Aug 2020

  Under supervision of Dr. Kai Fu, Post-doctoral Fellow • Analyzed gene data using tools including FastQC, HISAT 2, SAM, BAM, etc. • Used gene expression of 1156 lung cancer patients to train supervised & deep learning models that aided the staging of cancer; compared across their model performance and obtained the highest accuracy of around 93.2% using random forest.



Boston University

• United States
• Higher Education
• 700 & Above Employee

• Undergraduate Research Assistant

  • Dec 2019 - Apr 2020

  Cognition & Decision Lab Supervisor: Joseph T. McGuire, PhD, Assistant Professor of Cognitive Neuroscience • Trained machine learning classifiers (with Nilearn toolbox) on the topographic patterns of brain activity (multi-voxel), with the input being the data from voxels, and differentiated high versus low working memory load. • Forced to be suspended in April 2020 due to the COVID-19 crisis.



UPMC

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

• Student Researcher

  • Oct 2015 - Jun 2018

  Under supervision of Dr. Junyan Tao, Research Assistant Professor of Pathology from UPMC (https://www.path.pitt.edu/people/junyan-tao-phd) • Involved in research projects regarding liver cancer and targeted therapy in met/Beta-catenin mouse model; performed procedures such as hydrodynamic tail vein injection with sleeping beauty transposase, protein extraction, stem cell culture, transfection, darkroom imaging, hematoxylin, and eosin (H&E) staining, and plasmid… Show more Under supervision of Dr. Junyan Tao, Research Assistant Professor of Pathology from UPMC (https://www.path.pitt.edu/people/junyan-tao-phd) • Involved in research projects regarding liver cancer and targeted therapy in met/Beta-catenin mouse model; performed procedures such as hydrodynamic tail vein injection with sleeping beauty transposase, protein extraction, stem cell culture, transfection, darkroom imaging, hematoxylin, and eosin (H&E) staining, and plasmid manipulation. • Publication: Na Zhan, Adeola Adebayo Michael, Kaiyuan Wu, Aaron Bell, Junyan Tao, et al. The Effect of Selective c-MET Inhibitor on Hepatocellular Carcinoma in the MET-Active, \beta-Catenin-Mutated Mouse Model. (Gene Expr. 2018 Feb 6.) Show less