Bo Quinn (Yoo) Email & Phone Number

Santa Clara, Ca, Us

Sunnyvale, California, United States

Developing innovative future 23andMe health products as a lead scientist. Responsibilities include running feasibility studies, designing and implementing novel statistical models, presenting to stakeholders, and working cross-functionally to launch the product.

Stanford University, Ca

Graduate student in Bejerano Lab focusing building machine learning approaches to infer novel functional information from a large-scare genomic and publication dataAutomated discovery of novel monogenic disease-causing genes– Lead a project to improve low diagnostic rate of patients with monogenic disorders.– Accelerate novel disease-causing gene discovery to offer diagnosis hypothesis for patients whocannot be diagnosed with current knowledgebase using machine learning and graph theory techniques.– Contributed in building synthetic patient generations for training data, extracting novel featurespace using candidate genes’ biologically relevant neighbors, and providing interpretable resultsfor each hypothesis.– Mentored several graduate and undergraduate researchers.– Published in Genetics in Medicine (impact factor: 8.822) under the title: InpherNet acceleratesmonogenic disease diagnosis using patients’ candidate genes’ neighbors.• Discovery of most exciting testable hypothesis using mouse inbred strains– In collaboration with Peltz Lab in the Anesthesiology Department.– Built a pipeline to generate gene-phenotype hypotheses by automatically analyzing genotypicand phenotypic diversity that naturally exist in mouse inbred strains.– Developed a literature-based discovery (LBD) classifier using a publication graph including over33 million papers to automatically suggest the gene-phenotype relationships with the most potential.– Offer result interpretability by presenting the most relevant papers that support the hypothesis.– Built a user-friendly web interface to view each hypothesis in detail.

University Of Notre Dame

Complex Network Lab (CoNe) is a research lab in Notre Dame to study network topology to exact novel information. I worked on 2 main projects, 1 was recently published. I conduct analysis mostly on biology data and all of the codes are written in C++ and Python.

New York

Strategy and Architecture team,iOS development

Doctor Of Philosophy (Phd), Computer Science

Bachelor Of Science (Bs), Computer Science

Graduated magna cum laude with a degree in Computer Science, Received senior faculty choice award, and member of Tau Beta Pi and Upsilon.