Skills

Medicine

Genomics

Lab Bench

R

Docker

Guacamole

Research Experience

 
 
 
 
 

Bioinformatician

University of Michigan

Jan 2024 – Jul 2025 Ann Arbor, Michigan
Whole genome analysis of the University of Michigan’s Pediatric Genetic Registry in order to diagnose participants and find candidate genes for novel diseases.
 
 
 
 
 

CyTOF/CODEX Course Attendee

Nolan laboratory at Stanford University

May 2018 – May 2018 Palo Alto, CA
Airfare, accommodation and training fees were provided by the PRECISESADS project.
 
 
 
 
 

Researcher

Genyo

Jan 2015 – Jan 2019 Granada, Spain
Helios core team member and bioinformatics lead for flow cytometry analysis in the PRECISESADS project.
 
 
 
 
 

Researcher

Chulalongkorn University

Jan 2013 – Jan 2014 Bangkok, Thailand
Evolutionary analysis of SNPs and INDELs using ancient genomes and 1000 genomes data.
 
 
 
 
 

Researcher

Laboratory of Translational Genomics at NIH

Oct 2009 – Dec 2012 Bethesda, MD
Functional investigation of GWAS cancer signals associated with HCV-related traits and bladder cancer.
 
 
 
 
 

Researcher

Laboratory of Structural Biology at NIH

May 2009 – Sep 2009 Bethesda, MD
Cloned mutants of the fungal prion protein Het-s for analysis of structural motifs with electron microscopy.

Projects

Works in progress.

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Clinical Genetics Resources

An evolving list of web-based resources for people in the field of clinical genetics.

Real-time tracking of influenza and COVID-19 in urgent cares across the United States

A continuously updated electronic health record (EHR) database modified for public use provides real-time influenza and COVID-19 monitoring across the United States. Data include test results, geography, dates and ages. Influenza data also include diagnosis, prescriptions and insurance coverage. We believe publicly available real-time monitoring for important common pathologies should be the EHR standard as it fosters enhanced public health recommendations, disease surveillance and modeling accuracy.

Real-time influenza and influenza tracking in the state of Vermont

A project that links real-time survey results to a continuously updated website. It has been superseded by the CodoniX influenza and COVID-19 tracking project.

A Joint Statistical and Visual Framework for Unsupervised Exploratory Data Analysis

Specifying an appropriate dissimilarity measure is far more important in obtaining success with clustering than choice of clustering algorithm. This aspect of the problem is emphasized less in the clustering literature than the algorithms themselves, since it depends on domain specific knowledge specifics and is less amenable to general research.

Talks

Publications

Collaborations

As a member of the PRECISESADS flow cytometry study group.