Evan H. Baugh, Phd Email & Phone Number

River Edge, Nj, Us

Spring House, Pennsylvania, United States

-Automating novel drug target Risk and Adverse Event assessments incorporating biological and population phenotype data with machine learning-Developing a Causal Inference analysis pipeline for large-scale biobank characterization and other software to augment population data analyses-Designing variant interpretation analysis methods for characterizaing coding and non-coding variation across biobanks

Institute For Genomic Medicine

-Managed diverse scientific projects in clinical genetics, focusing on the identification of pathogenic variants for individual cases and among disease cohorts: including samples from the Undiagnosed Diseases Network (UDN), Epilepsy Genetics Initiative (EGI), and The Sudden Unexplained Death in Childhood Foundation (SUDC), along within disease cohorts having cerebral palsy, osteoporosis, hearing loss, OCD, macular telangiectasia, and Stargardt disease-Designed analytic approaches for clinical diagnostics, including support for a multi-disciplinary team of scientists, analysts, and genetic counselors-Developed and maintaining computational methods for identifying putatively causal pathogenic variation from next-generation sequencing data

Goldstein Lab, Institute For Genomic Medicine

-Developed a pipeline for rapidly analyzing variants discovered using exome sequencing by integrating diverse protein functional annotations with collected intra-species variation (ex. GNOMAD, ExAc)-Explored clinical applications for the VIPUR pipeline and automated structural analysis to interpret variants of unknown function in diagnosis of genetic disorders

Bonneau Lab

-Developed a pipeline for automated prediction and interpretation of clinically relevant protein variant effects associated with human diseases using evolutionary analysis and biophyiscal simulations of protein structure-Developed a platform for diverse biological software integration and data mining-Rosetta Developer-Organized weekly lab meetings and discussions

-Protein Biochemistry-Python Programming for Biologists-Biostatistics in R-Introductory Biology (Principles of Biology I)

-Developed real-time visualization of simulations for rapid algorithm prototyping-Documented code usage and implementation details-Wrote demonstrative scripts for using the Rosetta library

Bayesian Data Analysis and Modelling for Chemical Engineers (in MATLAB)

Doctor Of Philosophy (Ph.D.), Bioinformatics

Bachelor Of Science (Bs), Chemical And Biomolecular Engineering