Rachael Devries Email & Phone Number

Copenhagen, Dk

Denmark

Performed conditional modeling with variational autoencoders for single‑cell RNA sequencing across multiple disease applications and directed collaborative model analysis for a group of additional (PhD and MSc) students

Capital Region, Denmark

Analyzed RNAseq data to identify genes of interest for drug targeting, developed internal tools for data processing and visualization, and implemented deep learning to integrate multiple datasets with covariate correction and identify key genes.

San Francisco Bay Area

Oversaw complex rollouts of R&D cloud software involving multiple team members and <$200,000 annual recurring revenue contracts. Served as a pod lead for 9 Customer Success Specialists, including training, conducting regular mentorship meetings and integrating feedback into department‑wide processes.

San Francisco Bay Area

Conducted implementations of proprietary R&D software to 10 life science organizations in sizes ranging from 3 to 300 scientists, including creation of training materials and project trajectories based on unique scientific workflows.

San Francisco Bay Area

Utilized fluorescence microscopy and neuronal cell transfection to explore the impact of Drp1 KO on mitochondrial calcium transport. Bred mice and performed postnatal hippocampal dissections, and organized data to create comprehensive presentations.

San Francisco Bay Area

Studied the metabolic pathways of drug-resistant cancer cells using basic molecular techniques, including PCR, genotyping, and Western blots.

Valparaiso University

Student research position. Utilized PCR, mutagenesis, and fluorescence spectroscopy to study gas-binding specificity in the bacterial heme protein CooA. Presented findings at 2016 American Society for Biochemistry and Molecular Biology Conference, and received the 2015 Phillip DeLassus Memorial Chemistry Research Fellowship.

Doctor Of Philosophy - Phd, Bioinformatics

Longitudinal Modeling of Multifactorial Clinical Data with Deep Learning Methods

Master Of Science - Ms, Bioinformatics - Computer Science, 11.77/12.0

Master's Thesis: using conditional variational autoencoders and counterfactual explanations to investigate disease representation.

Bachelor’S Degree, Biology, Chemistry, 3.97/4.0

Activities and Societies: Christ College (Honors College), Alpha Phi Omega, Residential LifeBiochemistry research on bacterial heme.