My mission is to perform interdisciplinary research & development using molecular medicine, bioinformatics, and data science to create technologies that improve human health.

Inspired by the exciting collaborations between computer programmers and biologists who analyzed the data from the Human Genome Project, I started my research journey in high school, completing an award-winning science project, mentored by genomics pioneer Dr. Mark D. Adams. I continued pursuing research in Genomics at Cleveland Clinic and completed a PhD there, focused on Epigenomics and Next Generation Sequencing. (Learn more and read my publications on the research page.) Currently, I work as the bioinformatics and data science leader at a major biotechnology company.

If my mission resonates with you, please contact me at to discuss how we could collaborate!

Education

  • PhD in Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Cleveland, OH
  • BA in Biology, Quantitative Biology Track, Case Western Reserve University, Cleveland, OH
  • For-credit Bioinformatics & Genomics Independent Study, mentored by Ann I. Brokaw, MS and Mark D. Adams, PhD at Rocky River High School, Rocky River, OH and College-Level Computer Science Coursework at Cleveland State University, Cleveland, OH

Honors & Awards

  • The NCI Predoctoral to Postdoctoral Fellow Transition Award (F99/K00), National Institutes of Health/National Cancer Institute, September 2016
  • F31 Pre-Doctoral Fellowship Award, National Institutes of Health/National Cancer Institute, April 2015
  • First Place and Best in Category, Medicine and Health, Intel Foundation Grand Awards, Intel International Science and Engineering Fair, Phoenix, Arizona, May 2005
  • America‚Äôs Top 40 Graduating High School Seniors, USA TODAY All-USA Academic Team, May 2005

Research Interests

  • Molecular mechanisms of human disease
  • Bioinformatics & computational biology
  • Epigenetics/Epigenomics
  • RNA biology/Gene regulation
  • Cancer biology
  • Cardiovascular genetics
  • Data visualization

Bioinformatics & Data Science Skills

  • Advanced statistical analysis and data visualization in R
  • Scientific programming in Python and C++
  • Linux system administration, shell scripting, and parallelization in HPC cluster environments
  • Deployment of bioinformatics to a cloud environment using Amazon Web Services (EC2, S3, RDS)
  • Web applications for bioinformatics data visualization using web frameworks (Django and Flask) and JavaScript (D3.js)
  • Application of bioinformatics tools to create pipelines for microarray and next generation sequencing data analysis (including sequence alignment, genome assembly, quality control/normalization, statistical testing, multi-layer data integration, data visualization, and genome browser integration)
  • Machine learning methods (including clustering, supervised learning, cross validation, feature selection)

Biology Skills

  • Systems-level thinking about the impacts of molecular aberrations on cells, tissues, organisms, and evolution
  • Ability to relate how molecular results from genomics have implications to the pathobiology of human diseases
  • Expertise in the functions and regulatory mechanisms of epigenetics and RNA in health and disease
  • Basic molecular biology laboratory techniques (PCR, qRT-PCR, electrophoresis, bacterial and animal cell culture, molecular cloning, RNA/DNA/protein extraction, DNA sequencing, cellular transfection)