CV

Education

• B.S. in Biomedical Engineering and Computer Science, University of Cincinnati, 2025 (expected)

Awards

• 2020 - 2023: Dean’s List
• 2022: Excellent Award for Science Communication at University of Cincinnati Research Showcase

Work experience

• May 2023 - present: Google Summer of Code student
  • Harvard University
  • Duties included:
    • Convert Cellbox code from Tensorflow to Pytorch
  • Supervisor: Bo Yang, Dr. Augustin Luna and Dr. Chris Sander
• September 2022 - present: Computational Biology Student Researcher
  • Cincinnati Children’s Hospital
  • Duties included:
    • Initiate extensive model benchmarking and improvement efforts as follow-up research from 10.1371/journal.pcbi.1010863
    • Devise novel multimodal vision transformers for predicting correct binding sites of 127 transcription factors from genome sequence and ATAC-seq data, improving precision recall of 15% over convolutional neural networks
    • Implement interpretable methods (DeepLIFT and Integrated Gradients) to identify 90% accurate binding sequence motifs
    • Maintain and test Nextflow ChIP-seq and ATAC-seq pipeline with peak calling, motif enrichment, and alignment to disease risk loci using ENCODE, HOMER, and RELI, facilitating 6 research projects on neurodegenerative diseases
  • Supervisor: Dr. Matthew T. Weirauch and Dr. Emily Miraldi
• May - December 2022: Biomedical Informatics Student Researcher
  • Washington University in St. Louis
  • Duties included:
    • Utilized Slurm distributed High Performance Computing (HPC) cluster in Unix operating system, allowing scalable and efficient designs of data processing and model training pipelines
    • Fine-tuned computer vision models for processing and analysis of brain MRI images, achieving state-of-the-art accuracy results of 80% for semantic segmentation of brain tumors and 90% for segmentation quality grading
    • Performed exploratory data analysis and curation from electronic health records to extract surgical pathology data for 300 patients
    • Co-authored research paper currently under review for MICCAI 2023
  • Supervisor: Dr. Aristeidis Sotiras
• October 2021 - December 2022: Biomedical Imaging Undergraduate Research Assistant
  • Cincinnati Children’s Hospital
  • Duties included:
    • Implemented generative models (Wasserstein GAN and StyleGAN) for data augmentation of 2670 liver pediatric ultrasound images, enabling generation of high quality synthetic healthy and diseased liver ultrasound datasets
    • Conducted literature search and critical review of 40 publications, identifying current trends in biomedical generative research
    • Composed instructions for using Linux and running experiments on GPUs on the LSF cluster for 6 peer lab members
    • Won Excellent Award for Science Communication at University of Cincinnati Research Showcase for top 25% students
    • Admitted to UltraCon 2023 by the American Institute of Ultrasound in Medicine as a co-authored oral presentation
  • Supervisor: Dr. Surya Prasath

Skills

• Programming: Python, R, C++, Linux, MATLAB
• Machine learning
  • Generative Adversarial Networks
  • Semantic segmentations and disease classifications
  • Natural language processing with Large Language Models
  • Explainable deep learning methods
• Bioinformatics
  • High-throughput whole-genome sequencing data analysis (RNA-seq, ATAC-seq, ChIP-seq)
  • Nextflow pipeline development and deployment
  • Statistical modeling of transcription factor binding sites with machine learning
  • Data integration, visualization and presentation
• Biomedical Engineering
  • Biomedical signal processing
  • Computer-aided Design (CAD) and Finite Element Analysis (FEA)
  • FDM 3D printing
  • Mathematical simulation, modeling, and optimization of disease transmissions