Richard Gill

Richard Gill Email and Phone Number

Senior Scientist (Bioinformatics), Human Genetics @ Genentech
Davis, CA, US
Richard Gill's Location
Davis, California, United States, United States
Richard Gill's Contact Details

Richard Gill work email

Richard Gill personal email

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About Richard Gill

Well-rounded scientist with extensive computational biology experience in applying human genetics, epigenetics, and epidemiology principles to unravel the pathophysiology of cardiometabolic and immunologic diseases. Demonstrated expertise studying the role of common, rare, and structural genetic variation in family-and population-based studies of disease. Detail-oriented, collaborative, and clear communicator in team settings. Strong track record providing scientific contributions to therapeutic target and biomarker discovery.

Richard Gill's Current Company Details
Genentech

Genentech

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Senior Scientist (Bioinformatics), Human Genetics
Davis, CA, US
Website:
gene.com
Employees:
18231
Richard Gill Work Experience Details
  • Genentech
    Senior Scientist (Bioinformatics), Human Genetics
    Genentech
    Davis, Ca, Us
  • University Of California, Davis
    Project Scientist
    University Of California, Davis Nov 2023 - Present
    Davis, California, Us
  • Genentech
    Senior Scientist (Bioinformatics), Human Genetics
    Genentech Feb 2020 - Sep 2023
    South San Francisco, California, Us
    Human genetics-driven therapeutic target and biomarker discovery for immunological diseases (inflammatory bowel disease, rheumatoid arthritis, lupus nephritis).• Conducted GWAS, rare variant burden, eQTL, splice QTL, and microbiome QTL analyses using Phase 3 IBD trial data, followed by causal inference approaches (colocalization, Mendelian Randomization), to implicate 25 novel genes in IBD severity and diagnosis.• Constructed polygenic risk scores weighted by genetic predisposition to inflammation and disease severity, to predict treatment response in IBD clinical trial data.• Coordinated large-scale genotype-phenotype analyses of UK Biobank and FinnGen data, including plasma proteomics, EHR disease codes and claims data, to discover 3 novel IBD genes, and corroborate results from the analyses above.• Collaborated with therapeutic area biologists and single-cell RNA-seq experts to functionally characterize and understand the direct disease relevance of candidate target genes and biomarkers.• Generated genetic, epigenetic, and cell type-specific expression evidence to inform therapeutic target prioritization, enabling advancement of 3 pipeline targets to late-stage research and Ph1 clinical trials.• Human Genetics project team representative on cross-functional working groups, biomarker teams and research review committees.• Mentored junior members of genetics team, including one-on-one mentoring of two summer intern direct reports
  • Amgen
    Postdoctoral Fellow In Computational Biology
    Amgen Jan 2016 - Jan 2020
    Thousand Oaks, Ca, Us
    Resolved non-coding heart disease loci by leveraging high-resolution 3D chromatin interaction (2-kb Hi-C) and additional epigenetic data (ATAC-seq peaks and footprints, eRNA at promoters) in primary human cardiac fibroblasts and myocytes.• Processed, analyzed, and integrated large functional genomic datasets to trace regulatory circuits between non-coding GWAS signals and target genes, and to discover novel therapeutic targets and biomarkers.• Proposed, planned, and coordinated functional genomic experiments to validate predicted enhancer/TF relationships with 4 genes previously implicated in cardiac remodeling, fibrosis, and heart disease.
  • Columbia University Medical Center
    Phd Student In Molecular Genetics
    Columbia University Medical Center Sep 2010 - Jan 2016
    New York, Ny, Us
    • Oversaw 3 projects simultaneously: Exome Sequencing in Extreme Obesity Families; Functional Genomics of the FTO locus in African Americans; and mediation analysis of 16p11.2 CNVs, Eating Behavior, and Obesity• Independently formulated testable hypotheses and performed wet-lab experiments as well as analyses of large, complex datasets (N ~200,000) to obtain direct evidence of novel genotype-phenotype relationships• Leveraged analytical skills in multivariable regression, mixed linear modeling, factor analysis, mediation analysis, statistical fine-mapping of genetic loci using ENCODE and Roadmap data, as well as gene and protein network construction• Worked with interdisciplinary teams to interpret and publish results (3 first-author publications, 1 as co-author), and presented findings to leaders of academic and pharmaceutical industry collaborations (target genes entered early stage research and were not published)
  • Columbia University Medical Center
    Research Student In Neurology And Genetic Epidemiology
    Columbia University Medical Center Jan 2009 - Apr 2010
    New York, New York, Us
    Genetic linkage analysis of familial epilepsy• Performed detailed phenotypic analyses of a large clinical dataset containing families of individuals with epilepsy characterized by auditory features and aphasiaFamilial co-aggregation of migraine and unprovoked seizure (M.P.H. Thesis)• Used generalized estimating equation (GEE) multivariable regression to model the familial relative risk of unprovoked seizure and migraine comorbidity
  • Toronto General Hospital - University Health Network
    Research Student In Hyperbaric Medicine
    Toronto General Hospital - University Health Network Jun 2005 - Aug 2007
    Toronto, Ontario, Ca
    Primary care physicians’ knowledge and attitudes toward hyperbaric oxygen therapy (HBOT) in the treatment of diabetic foot ulcers• Worked with an interdisciplinary team to design a questionnaire• Created a searchable database to organize and store survey data• Applied multivariable regression analysis and geographic information system (GIS) modelling to identify predictors of HBOT knowledge and attitudes
  • University Of Toronto
    Research Student In Anatomy
    University Of Toronto Sep 2006 - Jun 2007
    Toronto, Ontario, Ca
    Musculoskeletal architecture of the human infraspinatus muscle• Used serial dissection and 3D-digitization to digitally reconstruct a formalin-embalmed cadaveric specimen throughout its volume• Defined novel and architecturally distinct infraspinatus muscle regions via comparative statistical analyses of fibre bundle length, muscle volume, and pennation angles• Prepared and presented poster at the 2007 Annual Meeting of the American Association of Clinical Anatomists (first runner-up for Student Poster Presentation Award)
  • St. Michael’S Hospital
    Research Student In Cardiology
    St. Michael’S Hospital May 2004 - Dec 2006
    Toronto, Ontario, Ca
    Cardiac patients’ awareness of heart disease and stroke risk factors and warning symptoms• Personally interviewed 251 patients in the cardiac ward and cardiac clinics• Created a searchable database to organize and store survey data• Identified predictors of health knowledge using multivariable regression analysis

Richard Gill Skills

Epidemiology Biostatistics Bioinformatics Molecular Genetics Cell Biology Population Genetics Statistical Genetics Clinical Research Sas R Unix Perl Python Next Generation Sequencing Chromosome Conformation Capture Hi C Chip Seq Atac Seq Rna Seq Snp Genotyping Pcr Qpcr Statistics Machine Learning Cloud Computing Amazon Web Services

Richard Gill Education Details

  • Columbia University
    Columbia University
    Genetic Epidemiology And Statistical Genetics
  • Columbia University Mailman School Of Public Health
    Columbia University Mailman School Of Public Health
    Epidemiology
  • University Of Toronto
    University Of Toronto
    Genetics & Biotechnology

Frequently Asked Questions about Richard Gill

What company does Richard Gill work for?

Richard Gill works for Genentech

What is Richard Gill's role at the current company?

Richard Gill's current role is Senior Scientist (Bioinformatics), Human Genetics.

What is Richard Gill's email address?

Richard Gill's email address is gi****@****ene.com

What schools did Richard Gill attend?

Richard Gill attended Columbia University, Columbia University Mailman School Of Public Health, University Of Toronto.

What are some of Richard Gill's interests?

Richard Gill has interest in Science And Technology, Education.

What skills is Richard Gill known for?

Richard Gill has skills like Epidemiology, Biostatistics, Bioinformatics, Molecular Genetics, Cell Biology, Population Genetics, Statistical Genetics, Clinical Research, Sas, R, Unix, Perl.

Who are Richard Gill's colleagues?

Richard Gill's colleagues are Philip Lau, Judy Brucks-Pellegrini, Cynthia Alvarez, Karen Cheng, Gregory Burton, Michelle Skaggs,csrp, Imogene Conder.

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