Yannick Pouliot

About Yannick Pouliot

Computational biologist and software developer with deep expertise in data mining and modeling, including meta-analysis, data cleansing, metadata encoding, and visualization- Significant experience in machine learning applied to biological problems- Unmatched ability to cross disciplinary boundaries to solve complex integrative problems, from biomedical research data types to clinical data- Extensive experience in developing advanced scientific software applications, ranging from data science to knowledge

Experience

1. Principal Genomic Data Scientist

   Tempus AI

   Mar 2024 — Present · Redwood City, CA, US

   Data engineering of Tempus\' clinico-genomics RWD database of DNA- and RNA-based somatic variant identification, principally involving refactoring the database schema and developing data reduction algorithms to improve data interpretability in support of diagnostic and therapeutic discovery, and to increase the usability of these data for machine learning purposes.

Education

• McGill University

  Ph.D., Biology

  1989 — 1994

• University of Phoenix

  MBA, Technology Management

  1996 — 1998

• McGill University

  B.Sc., Cellular, Molecular and Developmental Biology

  1983 — 1986

• McGill University

  M.Sc., Biology

  1986 — 1989

Skills

• Ontologies
• Software Development
• Molecular Biology
• Python
• Oracle Sql
• Drug Discovery
• Jupyter Notebook
• Amazon Rds
• Statistics
• Amazon Web Services (Aws)
• Genomics
• Biotechnology
• Databases
• Research
• Microarray Analysis
• Requirements Gathering
• Sequence Analysis
• Microsoft Excel
• Lifesciences
• Computational Biology
• Informatics
• Algorithms
• Life Sciences
• Protein Structure Prediction
• Sequencing
• High Throughput Screening
• Machine Learning
• Genetics
• Bioinformatics
• Bash
• Immunology
• R
• Next Generation Sequencing
• Laboratory
• Rna-Seq
• Uml
• Data Analysis
• Functional Genomics
• Dna Nexus
• Systems Biology