John Caskey
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John Caskey Email & Phone Number

Location: Madison, Wisconsin, United States 7 work roles 3 schools
1 work email found @wisc.edu LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

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Work email j****@wisc.edu
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Role
Data Engineer
Location
Madison, Wisconsin, United States

Who is John Caskey? Overview

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John Caskey is listed as Data Engineer at University of Wisconsin-Madison, based in Madison, Wisconsin, United States. AeroLeads shows a work email signal at wisc.edu and a matched LinkedIn profile for John Caskey.

John Caskey previously worked as Senior Data Scientist at University Of Wisconsin-Madison and Assistant Scientist at University Of Wisconsin-Madison. John Caskey holds Doctor Of Philosophy (Phd), Biomedical Sciences from Tulane University.

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{first}.{last}@wisc.edu
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Profile bio

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.

Listed skills include Molecular Biology, Pcr, Microsoft Office, Biotechnology, and 43 others.

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University of Wisconsin-Madison
University Of Wisconsin-Madison
Data Engineer
Madison, WI, US
AeroLeads page
7 roles · 21 years

John Caskey work experience

A career timeline built from the work history available for this profile.

Senior Data Scientist

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

Oct 2019 - Mar 2024

Assistant Scientist

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

Apr 2018 - Oct 2020

Postdoctoral Researcher- Center For Computation And Technology, Biommed Division

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

Feb 2015 - Mar 2018

Doctoral Candidate And Graduate Research Assistant- Primate Research Center

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

2010 - 2015 ~5 yrs

Technical Support Specialist

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

2006 - 2010 ~4 yrs
3 education records

John Caskey education

Doctor Of Philosophy (Phd), Biomedical Sciences

Tulane University

Bachelor Of Science (B.S.), Biology

Florida Atlantic University

Bachelor Of Arts (B.A.), European History

The University Of The South
FAQ

Frequently asked questions about John Caskey

Quick answers generated from the profile data available on this page.

What company does John Caskey work for?

John Caskey works for University of Wisconsin-Madison.

What is John Caskey's role at University of Wisconsin-Madison?

John Caskey is listed as Data Engineer at University of Wisconsin-Madison.

What is John Caskey's email address?

AeroLeads has found 1 work email signal at @wisc.edu for John Caskey at University of Wisconsin-Madison.

Where is John Caskey based?

John Caskey is based in Madison, Wisconsin, United States while working with University of Wisconsin-Madison.

What companies has John Caskey worked for?

John Caskey has worked for University Of Wisconsin-Madison, Louisiana State University, Tulane University, and Apple.

How can I contact John Caskey?

You can use AeroLeads to view verified contact signals for John Caskey at University of Wisconsin-Madison, including work email, phone, and LinkedIn data when available.

What schools did John Caskey attend?

John Caskey holds Doctor Of Philosophy (Phd), Biomedical Sciences from Tulane University.

What skills is John Caskey known for?

John Caskey is listed with skills including Molecular Biology, Pcr, Microsoft Office, Biotechnology, Cell Culture, Western Blotting, Gel Electrophoresis, and Data Analysis.

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