Logan Brase
@loganbrase
PhD candidate in human & statistical genetics applying machine learning to advance precision medicine.
United StatesWhat I'm looking for
I am a hardworking, diligent, and personable PhD candidate in Human & Statistical Genetics who applies machine learning and computational methods to untangle complex disease biology, particularly Alzheimer disease. I combine wet-lab experience and extensive computational skills (R, Python, TensorFlow, PLINK) to develop novel analyses — including GRNs, neural-network perturbation visualizations, and expression-variability methods — that have contributed to multiple peer-reviewed publications.
My work spans single-nucleus RNA-seq on ~300,000 cells, cross-omics integration, and development/optimization of statistical models (mixed-effects, zero-inflation, Poisson/negative binomial) to identify disease-associated signals; I also mentor junior researchers and have led teaching and leadership roles. I seek opportunities to apply computational genetics and ML to translational research in a collaborative, impact-driven environment.
Experience
Work history, roles, and key accomplishments
Conducted single-nucleus RNA-seq and multi-omics analyses on Alzheimer disease cohorts (~300,000 cells) to identify cell-type specific regulatory networks and sex-disease interactions, producing novel methods linking gene expression variability to disease and multiple high-impact publications.
Coordinated TA team and managed Genomics lab instruction, leading review sessions, maintaining course materials, troubleshooting virtual testing tools, and grading for a graduate-level course.
Research Assistant
Brigham Young University
Sep 2017 - Apr 2018 (7 months)
Developed and published a novel algorithm (ExtRamp) to isolate gene 'ramp' sequences and performed high molecular weight DNA prep and long-read sequencing for cotton genome assembly, contributing to peer-reviewed genomic resources.
Teaching Assistant
Brigham Young University
Aug 2015 - Apr 2018 (2 years 8 months)
Sole TA for a Molecular Genetics lab course, training students in PCR, qPCR, gel electrophoresis, cloning transformations, and Sanger sequencing across lab sessions.
Education
Degrees, certifications, and relevant coursework
Washington University in St. Louis
Doctor of Philosophy, Human & Statistical Genetics
2018 - 2024
Grade: 3.55
Activities and societies: Graduate research in Harari Lab; teaching assistant and course projects in machine learning and computational genetics.
PhD candidate in Human & Statistical Genetics conducting computational and wet-lab research integrating single-nucleus RNA-seq and multi-omics to study Alzheimer disease.
Brigham Young University
Bachelor of Science, Bioinformatics and Genetics & Biotechnology
2014 - 2018
Grade: 3.89
Activities and societies: Research assistant in Ridge and Udall labs; teaching assistant for Molecular Genetics Lab.
Completed a double major in Bioinformatics and Genetics & Biotechnology with research assistant roles contributing to algorithm development and genome assembly projects.
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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