Patrick Trainor

 PatrickJ. Trainor

Patrick J. Trainor

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Biography

University of Louisville - Mathematics


Resume

  • 2015

    Doctor of Philosophy (Ph.D.)

    Bioinformatics

    University of Louisville

  • 2012

    Spanish

    English

    Master's Degree

    Mathematics

    University of Louisville

    Manogue

    Master's Degree

    Biostatistics

    University of Louisville

  • 2008

    Bachelor of Science (B.S.)

    Mathematics

    Seattle University

  • Backside Learning Center

    English as a second language instructor

    Family Education Program tutor

    FEP summer camp leader

    Board Member; Warehouse Volunteer; Food Rescue Program Volunteer

    3/2020-Current: Volunteer in the warehouse and in the Food Rescue Program\n6/2020-Current: Member

    Board of Directors

    CASA DE PEREGRINOS FOOD PANTRY

    Volunteer Classroom Assistant

    King County Juvenile Detention Center

    Statistical Genetics

    R (Programming Language)

    Unix

    Statistical Consulting

    Bioinformatics

    Biostatistics

    SAS

    Linux

    Object Oriented Design

    Statistical Modeling

    Machine Learning

    Statistical Programming

    Bayesian Statistics

    Proteomics

    Data Mining

    SQL

    Research

    Metabolomics

    Python

    Statistics

    Exercise-induced changes in glucose metabolism promote physiologic cardiac growth

    Daniel Conklin

    Kartik Katragadda

    Detlef Obal

    Lindsey McNally

    Shizuka Uchida

    Paul Epstein

    Steven Jones

    Aruni Bhatnagar

    Bradford Hill

    Andrew Gibb

    Exercise-induced changes in glucose metabolism promote physiologic cardiac growth

    Andrew DeFilippis

    Shesh Rai

    Ayesha Singh

    Joseph B Moore IV

    Imtiaz Ismail

    Vallari Kothari

    Diana Otero

    David Day Song

    Alok Amraotkar

    Platelet Count and Mean Platelet Volume at the Time of and After Acute Myocardial Infarction

    Andrew DeFilippis

    Aruni Bhatnagar

    Shesh Rai

    Eric Rouchka

    Bradford G. Hill

    Systems characterization of differential plasma metabolome perturbations following thrombotic and non-thrombotic myocardial infarction

    Brian S Shumway

    Alfred Bennett Jenson

    Shesh Rai

    Joongho Joh

    Shin-je Ghim

    Maryam Zahin

    Sujita Khanal

    Histologic Variation in High Grade Oral Epithelial Dysplasia When Associated With High-Risk Human Papillomavirus

    When Given a Lemon

    Make Lemonade: Revising Cardiovascular Risk Prediction Scores

    Goetz Kloecker

    Farhad Khosravi

    Shesh Rai

    Classification of biosensor time series using dynamic time warping: applications in screening cancer cells with characteristic biomarkers

    BayesianGLasso: An R package for estimating Gaussian Graphical Models via a block Gibbs sampler for the Bayesian Graphical Lasso

    Shesh Rai

    Andrew DeFilippis

    Evaluation of classifier performance for multiclass phenotype discrimination in untargeted metabolomics

    Inferring metabolite interactomes via molecular structure informed Bayesian graphical model selection with an application to coronary artery disease

    Aruni Bhatnagar

    Eric Rouchka

    Glenn Hirsch

    Shesh Rai

    Alok Amraotkar

    Bradford Hill

    Andrew DeFilippis

    Identification of a plasma metabolomic signature of thrombotic myocardial infarction that is distinct from non-thrombotic myocardial infarction and stable coronary artery disease

    Andrew Defilippis

    Aruni Bhatnagar

    Shesh Rai

    Affan B Irfan

    Charles Hargis

    Shahab Ghafghazi

    Alok Amraotkar

    Presence of multiple coronary angiographic characteristics for the diagnosis of acute coronary thrombus

    Aruni Bhatnagar

    Sotirios Tsimikas

    Gregor Leibundgut

    Frederick K Korley

    Charles W Hargis

    Imtiaz Ismail

    Shalin Kothari

    Alok Amraotkar

    Ilya Chernyavskiy

    Andrew Paul Defilippis

    Circulating levels of plasminogen and oxidized phospholipids bound to plasminogen distinguish between atherothrombotic and non-atherothrombotic myocardial infarction

    David Hein

    Xiang Zhang

    Christopher States

    Marcus Stepp

    Mark Doll

    Xinmin Yin

    Untargeted polar metabolomics of transformed MDA-MB-231 breast cancer cells expressing varying levels of human arylamine N-acetyltransferase 1

    Balaji Panchapakesan

    Shesh Rai

    Eric Wickstrom

    Goetz Kloecker

    Christopher Lambert

    Farhad Khosravi

    Static micro-array isolation

    dynamic time series classification

    capture and enumeration of spiked breast cancer cells in blood: The nanotube-CTC chip

    David W Hein

    Carolyn Klinge

    Marcus Stepp

    Mark Doll

    Knockout of Human Arylamine N‐Acetyltransferase 1 (NAT1) in MDA‐MB‐231 Breast Cancer Cells Leads to Increased Reserve Capacity

    Maximum Mitochondrial Capacity

    and Glycolytic Reserve Capacity

    Balaji Panchapakesan

    Eric Wickstrom

    Goetz Kloecker

    Shesh Rai

    Farhad Khosravi

    Label-free capture of breast cancer cells spiked in buffy coats using carbon nanotube antibody micro-arrays

    Brian S Shumway

    Shesh Rai

    Alfred Bennett Jenson

    Shin-je Ghim

    Joongho Joh

    Eric T. Cole

    Sujita Khanal

    Human Papillomavirus Detection In Histological Samples of Multifocal Epithelial Hyperplasia: A Novel Demographic Presentation

    John Wenz

    Tamre Cardoso

    J. McLean Sloughter

    Hugh Safford

    Dave Fournier

    Joel M Egan

    Assessment of a Jeffrey Pine Beetle Outbreak from 1991-1996 near Spooner Junction

    Lake Tahoe Basin

    Wisdom of artificial crowds feature selection in untargeted metabolomics: An application to the development of a blood-based diagnostic test for thrombotic myocardial infarction

    Andrew P DeFilippis

    Roman V Yampolskiy

    Wisdom of artificial crowds feature selection in untargeted metabolomics: An application to the development of a blood-based diagnostic test for thrombotic myocardial infarction

    Dave Fournier

    Hugh Safford

    Ke Wu

    Tamre Cardoso

    J. McLean Sloughter

    Joel M. Egan

    Multi-temporal ecological analysis of Jeffrey pine beetle outbreak dynamics within the Lake Tahoe Basin

    Patrick

    United States Marine Corps

    Humana

    DiscernDx

    New Mexico State University

    Theravance

    Seattle University

    University of Louisville

    University of Louisville

    Biometrics Intern

    San Francisco Bay Area

    Theravance

    Louisville

    Kentucky

    •\tDeveloped novel computational methods for metabolomics

    proteomics

    and transcriptomics \n•\tServed as the lead bioinformatics scientist in developing a multi-omic (metabolomics & proteomics) method for differentiating myocardial infarction (heart attack) subtypes\n•\tDeveloped machine learning methodology to facilitate the detection of circulating cancer cells using carbon nanotube micro-arrays\n•\tProvided bioinformatics and biostatistical support to scientists and clinicians at the Institute of Molecular Cardiology & at the JG Brown Cancer Center

    Graduate Research Assistant

    University of Louisville

    Louisville

    Kentucky

    • I developed predictive models for forecasting plan-level performance across multiple clinical quality measures\n• I developed an integrated model for forecasting clinical quality performance subject to a new set of state \"pay-for-performance\" guidelines for Medicaid plans\n• Executed many ad-hoc statistical analyses for internal teams within clinical quality

    Clinical Analytics Consultant

    Humana

    Las Cruces

    New Mexico Area

    Assistant Professor of Applied Statistics

    New Mexico State University

    Fort Knox

    Kentucky

    Sergeant

    United States Marine Corps

    University of Louisville

    DiscernDx

    Palo Alto

    California

    • Development of machine learning applications for the analysis of high-dimensional mass spectrometry data generated from clinical samples to support DiscernDx's diagnostic objectives\n• Statistical analyses to support chromatography and mass spectrometry method development and optimization\n• Development of cloud computing architectures and strategies for processing and analyzing high-dimensional mass spectrometry data\n• Other bioinformatic projects in support of scientific teams

    Bioinformatics Data Scientist

    Louisville

    Kentucky

    Courses taught: Introductory Statistics

    Contemporary Mathematics

    College Algebra

    and Essentials of Calculus.

    Graduate Teaching Assistant

    University of Louisville

    Seattle

    Developed spatial statistical models for predicting mortality in pine trees throughout different phases of bark beetle epidemics.

    Research Assistant

    Seattle University