The Johns Hopkins University School of Medicine

Reed College

Computational Biologist at Broad Institute

Broad Institute

Computational Biologist

 Identified genomic differences in Schizophrenia using 1,600 human brain RNA-seq samples
 Designed pipeline for calling rare variants in NGS data, 80% reduction in false positive rate
 Discovered novel cancer-driving somatic mutations using a Random Forest classifier
 Designed MySQL database of precomputed features for all positions in the human exome
 Implemented Python pipeline for mapping 1D sequence features to 3D protein position
 Evaluated technical reproducibility of Illumina RNA-seq data, analyzed library prep protocols
 Involved in 8 publications, 2 co-first author, in journals including Bioinformatics, Nature, PNAS

Johns Hopkins School of Medicine

PhD Candidate

Used wavelets in MATLAB to identify and filter blinks in EMG of orbicularis oculi
Used Blender, Avisynth & Python to generate series of stereoscopic movies

Pacific University

Lab Technician

Wrote MATLAB scripts to track fluorophores from movies acquired from TIRF microscope
Found instances of protein binding by tracking cross-correlation profiles of co-localized fluorophores in two-channel movies

Research Assistant

 Improved sensitivity of microsphere optical biosensor with lock-in amplifier & PID controller
 Fabricated a photonic crystal for ultrasensitive optical biosensing
 Identified evidence of single molecule detection using MATLAB & LabVIEW

Dewey Kim