John Caskey

John Caskey Email and Phone Number

Madison, WI, US
John Caskey's Location
Madison, Wisconsin, United States, United States
John Caskey's Contact Details

John Caskey work email

John Caskey personal email

About John Caskey

I am a Data Scientist with 8+ years of experience and a passion for applying the scientific method to achieve strong end results. Getting creative to solve complex problems and meet client needs is something I love, and I don’t quit until a quality solution is generated. I work well under pressure, think innovatively about long-term objectives and how to best accomplish them, and consistently strive for excellence.Recognized as the ‘go-to-guy’ for analysis, I am able to quickly see if and why analyses are not properly assessing datasets and how to effectively use multiple software systems to achieve the needed analysis. I am highly skilled at quick and efficient data wrangling, conducting statistical analysis of biological data, creating analysis pipelines to optimize accuracy of work/efficiency of workflow, and writing software in Python, C++, and Swift for genomic analyses of Next Generation Sequencing (NGS) datasets. Additionally, I have experience creating Machine Learning algorithms, as well as developing/evaluating Deep Learning Models.As an expert in Biology and Computer Science, I facilitate communication and translate information between Biologists and Computational Scientists to ensure cohesiveness and accuracy across multiple projects. Managing complex projects with cross-disciplinary teams comes easily to me, as I typically oversee 5-15 projects simultaneously.In today’s competitive business environment, my extensive experience in Bioinformatics, Machine Learning, NLP, and Deep Learning brings a unique blend of skills that drives results and strengthens an organization’s bottom line.

John Caskey's Current Company Details
University of Wisconsin-Madison

University Of Wisconsin-Madison

View
Data Engineer
Madison, WI, US
John Caskey Work Experience Details
  • University Of Wisconsin-Madison
    Data Engineer
    University Of Wisconsin-Madison
    Madison, Wi, Us
  • University Of Wisconsin-Madison
    Data Engineer
    University Of Wisconsin-Madison Oct 2019 - Present
    Madison, Wi, Us
  • University Of Wisconsin-Madison
    Senior Data Scientist
    University Of Wisconsin-Madison Oct 2019 - Mar 2024
    Madison, Wi, Us
    Create Machine Learning models to predict sepsis outcomes in patient clinical data, using NLP from patient clinical notes for COVID contact tracing, build and maintain LabKey database with genetic variants related to cancerous phenotypes, build and run variant calling workflows on patient genetic data, perform statistical analyses on variant calling
  • University Of Wisconsin-Madison
    Assistant Scientist
    University Of Wisconsin-Madison Apr 2018 - Oct 2020
    Madison, Wi, Us
    Key responsibilities include:- Writing code in Python and R to conduct analyses on NGS Biological datasets- Conducting statistical analyses in R and SAS JMP for experiments; example work: https://gist.github.com/disulfidebond/8197de960054cfcec754cdd273aaeb76- Using Machine Learning to create a novel approach to string matching on NGS Biological data, example here: https://github.com/disulfidebond/MHC_Automation_ML- Instructing technicians on best practices for computer use and data managementOther responsibilities include:- Managing computing resources for research lab- Data management and archival of research data, including proper submission to NCBI and EBI- Creating python notebooks to access and utilize local High Throughput Computing resources- Coding iOS App that provides a GUI for researchers
  • Louisiana State University
    Postdoctoral Researcher- Center For Computation And Technology, Biommed Division
    Louisiana State University Feb 2015 - Mar 2018
    Baton Rouge, La, Us
    Applied string-matching algorithms to Machine Learning (ML) in the area of RNASeq and Bioinformatics. Developed and Evaluated Deep Learning Models. Created novel algorithms for genomic analyses of Next Generation Sequencing (NGS) datasets. Conducted core analysis work in Biostatistics and Genomics analysis. Managed a High Performance Computer. Conducted statistical analysis of biological data, and creates analysis pipelines to optimize accuracy of work and efficiency of workflow. Enhanced experimental designs to incorporate wet lab and computational aspects. As an expert in Biology and Computer Science, I facilitated communication and translated information between Biologists and Computational Scientists, to ensure cohesiveness and accuracy across multiple projects. I managed complex assignments/projects with cross-functional project teams, typically 5-15 projects simultaneously. Software Utilized to Develop Pipelines and Develop Applications included:✔ Data Analysis: BWA, Tophat, Cufflinks, Hadoop in HPC environment✔ RNASeq/DNASeq: DNASTAR, Partek Flow, Partek GS, IBM Platform App Manager, Perl, Bash★ Key Accomplishments ★ • Wrote iOS (Swift) and Android (Java) App for yearly LSU conference• Wrote software in Java, Python, and Bash for researchers that allowed them to accurately and independently run analysis instead of outsourcing it. Made research more cost efficient/scalable, reduced turnaround time. • Managed complex assignments/projects with cross-functional project teams; typically 5-15 projects simultaneously.• Designed/taught highly reviewed workshops on the new IBM Power8 High Performance Computer.• Developed machine learning algorithms.Specialties: Bioinformatics ✔Project Management ✔Deep Learning Engineering ✔Genomics ✔Electronic DNA Sequencing ✔Statistics ✔Biostatistics/Genomics Analysis ✔Deep Learning ✔BioChemistry ✔Mathematics ✔Cross-Functional Collaboration ✔Code Review ✔Neural Networks ✔Data Science
  • Tulane University
    Doctoral Candidate And Graduate Research Assistant- Primate Research Center
    Tulane University 2010 - 2015
    New Orleans, La, Us
    Used analytical software for RNAseq analysis and wrote customized Perl, Python, and Bash scripts to assist in analysis of RNASeq data. Wrote comprehensive protocol for extraction, processing, and preparing RNA tran-scripts from Bacterial RNA for RNASeq using Life Technologies Ion Torrent. Created RNAseq database with searchable Borrelia burgdorferi genome. Prepared biological samples for Next Generation Sequencing (NGS) and RNASeq. Conducted experiments to examine the phenotypic change of Borrelia burgdorferi.★ Key Accomplishments ★ • Developed and utilized iOS App for Cell Counting (MultiCell).• Wrote customized Perl, Python, and Bash scripts to assist in analysis of RNASeq data.• Performed statistical analyses (Pearson's Chi-Squared, t-test, and Bayesian) for published research. • Invited by the U.S. Embassy to produce and deliver a guest lecture at Belgrade University in Serbia on using computer programs to analyze scientific medical data.Specialties: ✔Bioinformatics ✔Project Management ✔Genomics ✔Electronic DNA Sequencing ✔Statistics ✔Biostatistics/Genomics Analysis ✔BioChemistry ✔Writing Software ✔String Matching ✔Mathematics ✔Cross-Functional Collaboration ✔Version Control ✔Reporting/ Documentation Architecting ✔Software Engineering/Management ✔Code Review ✔Data Science ✔Systems Administration ✔Server Maintenance/Security ✔Base-Calling ✔Burrows-Wheeler Alignment ✔Tophat ✔Cufflinks ✔Perl ✔Bash ✔C ✔C++ ✔Swift ✔Java ✔Blender ✔Adobe Photoshop ✔MySQL ✔iLife ✔Final Cut ✔XCode ✔R
  • Apple
    Technical Support Specialist
    Apple 2006 - 2010
    Cupertino, California, Us
    • Trained team members on new software and products at launch days.• Assisted customers in troubleshooting iPhone, Mac, iPod, and software issues.• Performed Basic Troubleshooting on iOS devices.• Taught customers Apple software, including iWork, iLife, and Final Cut. • Set up imaging computers with demo software.Specialties: ✔Writing Software ✔Mathematics ✔Cross-Functional Collaboration ✔Version Control ✔Software Engineering/Management ✔Cloud Infrastructure & Computing ✔Systems Administration ✔Customer Service ✔Training ✔Server Maintenance/Security

John Caskey Skills

Molecular Biology Pcr Microsoft Office Biotechnology Cell Culture Western Blotting Gel Electrophoresis Data Analysis Elisa Microsoft Excel C++ Customer Service Microbiology Statistical Data Analysis Bioinformatics Mobile Applications System Administration Data Mining Project Management Genomics Statistics Biostatistics Software Software Engineering Cloud Infrastructure Powerpoint Microsoft Word Swift Objective C Hadoop Java Mysql Perl Tensorflow Caffe Bash High Performance Computing Statistical Software Deep Learning Analytical Biochemistry Version Control Electronic Dna Sequencing Deep Learning Models String Matching Burrows Wheeler Alignment Tophat Partek Flow

John Caskey Education Details

  • Tulane University
    Tulane University
    Biomedical Sciences
  • Florida Atlantic University
    Florida Atlantic University
    Biology
  • The University Of The South
    The University Of The South
    European History

Frequently Asked Questions about John Caskey

What company does John Caskey work for?

John Caskey works for University Of Wisconsin-Madison

What is John Caskey's role at the current company?

John Caskey's current role is Data Engineer.

What is John Caskey's email address?

John Caskey's email address is tunemusic@me.com

What schools did John Caskey attend?

John Caskey attended Tulane University, Florida Atlantic University, The University Of The South.

What skills is John Caskey known for?

John Caskey has skills like Molecular Biology, Pcr, Microsoft Office, Biotechnology, Cell Culture, Western Blotting, Gel Electrophoresis, Data Analysis, Elisa, Microsoft Excel, C++, Customer Service.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.