Michael Kesling

Bioinformatics Data Scientist at Bluestar Genomics, Inc - Precision Epigenomic Medicine
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Location
San Francisco, California, United States, US
Languages
  • English -
  • Spanish -

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Betty Ulitsky-Lazareva

I had the pleasure to work with Michael in bioinformatics at MAG/Celera/ABI for 7 years. Our Panther project (www.pantherdb.org) created a classification and scoring system for all mammalian-relevant proteins. We started from ground zero to cluster all proteins in the NR database into families and build HMMs around those clusters. Mike was leading this project and made it work. He is very bright, energetic and focused scientist. I have a feeling that if he encounters an obstacle in carrying out a project and cannot jump it over, then he will dig under it, and will eventually get there.

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Credentials

  • Algorithms: Design and Analysis, Part 1 of 2 (Stanford)
    Coursera Course Certificates
  • Algorithms: Design and Analysis, Part 2 of 2 - (Stanford)
    Coursera Course Certificates
  • Bioconductor: Annotation and Analysis of Genomes and Genomic Assays (Harvard)
    edX
  • Digital Networks Essentials
    edX
  • Getting and Cleaning Data (Johns Hopkins)
    Coursera
  • High-Dimensional Data Analysis (Harvard)
    edX
  • Introduction to Computational Thinking and Data Science (MIT)
    edX
  • Introduction to Computer Science and Programming Using Python (MIT)
    edX
  • Introduction to Linear Models and Matrix Algebra (Harvard)
    edX
  • Introduction to Mathematical Thinking (with Distinction) (Mathematical Proofs Course--Stanford)
    Coursera
  • Linear Differential Equations (Boston University)
    edX
  • Machine Learning (Stanford)
    Coursera Course Certificates
  • Managing Big Data with MySQL (and Teradata) (Duke)
    Coursera Course Certificates
  • Mathematical Biostatistics I (Johns Hopkins)
    Coursera Course Certificates
  • Mathematical Biostatistics II (Johns Hopkins)
    Coursera Course Certificates
  • Nonlinear Differential Equations: Order and Chaos (Boston University)
    edX
  • Probability Graphical Models--Inference, with Honors (Stanford)
    Coursera Course Certificates
  • Probability Graphical Models--Representation, with Honors (Stanford)
    Coursera Course Certificates
  • R Programming (Johns Hopkins)
    Coursera Course Certificates
  • Regression Models (Johns Hopkins)
    Coursera Course Certificates
  • Statistical Inference and Modeling for High-throughput Experiments (Harvard)
    edX
  • The Analytics Edge (MIT)
    edX

Experience

    • Bioinformatics Data Scientist
      • Aug 2020 - Present
    • United States
    • Medical Practices
    • 1 - 100 Employee
    • Senior Bioinformatics Scientist
      • Jan 2018 - Present
    • France
    • Financial Services
    • Senior Bioinformatics Scientist
      • Mar 2020 - Jun 2020
    • Costa Rica
    • Education Administration Programs
    • 200 - 300 Employee
    • Senior Bioinformatics Scientist
      • 2014 - 2015

      Worked on mechanisms that maintain a steady transcript level across cancer cells that vary their copy number. Working with Next-Generation Sequencing (RNAseq), Affymetrix and Agilent (copy number) microarray data. Worked on mechanisms that maintain a steady transcript level across cancer cells that vary their copy number. Working with Next-Generation Sequencing (RNAseq), Affymetrix and Agilent (copy number) microarray data.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Lecturer in Chemistry and Biochemistry
      • 2009 - 2012

      Taught general chemistry, organic chemistry, biochemistry and bioinformatics to undergraduate and masters students. Supervised students in bioinformatics projects. Taught general chemistry, organic chemistry, biochemistry and bioinformatics to undergraduate and masters students. Supervised students in bioinformatics projects.

    • Principal Scientist, Computational Biology
      • 1998 - 2005

      Acted in several roles as our (Panther) group was purchased and transferred while at M.A.G., Celera Genomics, and Applied Biosystems. Principle Scientist, Computational Biology (2005): Worked out a strategy for identifying alternative spliced transcripts from EST alignments on the genome. Scientific Application Manager (2003-04): Developed scientific marketing materials for selling microarray performance and gene / transcript selection strategies in microarray design. These technical aspects were critical for selling such a complex product. Played a key role in selling first instruments. Senior Scientist (2000-2003): Led a part of the Panther group that built a library of multiple sequence alignments of protein families that covered all mammalian-relevant families (Panther Database: www.pantherdb.org). This included phylogenetic trees, HIdden Markov Models, curation of trees according to their biochemical function, and cross-referencing these trees to other biological data. Played role in assigning function to genes when Celera sequenced to human, mouse, and rat genomes that generated $100M+/yr in revenue. (Our group was transferred to Celera's sister company Applied Biosystems in 2003.) Senior Scientist (1998-1999): Published one of the first papers analyzing microarray transcription patterns with clustering tools, and showed how the groups correlated with biological function in an automated way. Performed gene expression analysis with collaborators and for customers. Used these innovations to design the Stingray gene expression analysis software. Show less

Education

  • Stanford University
    Doctor of Philosophy (Ph.D.), Biochemistry
    1990 - 1997
  • Stanford University
    Postdoctoral Associate, Genome Sciences/Genomics
    1997 - 1998

Community

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