Wayne Delport
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Wayne Delport Email & Phone Number

Chief Technology Officer at Simplify Genomics, Inc.
Location: San Diego, California, United States 9 work roles 2 schools
1 work email found @mac.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

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Work email w****@mac.com
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Current company
Role
Chief Technology Officer
Location
San Diego, California, United States

Who is Wayne Delport? Overview

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Quick answer

Wayne Delport is listed as Chief Technology Officer at Simplify Genomics, Inc., based in San Diego, California, United States. AeroLeads shows a work email signal at mac.com and a matched LinkedIn profile for Wayne Delport.

Wayne Delport previously worked as Vice President Of Technology and Bioinformatics at Human Longevity, Inc. and Director of Bioinformatics at Human Longevity, Inc.. Wayne Delport holds Ms, Phd, Zoology, Genetics from University Of Pretoria.

Company email context

Email format at Simplify Genomics, Inc.

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{first_initial}{last}@mac.com
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AeroLeads found 1 current-domain work email signal for Wayne Delport. Compare company email patterns before reaching out.

Profile bio

About Wayne Delport

Technology leader with >10 years’ experience delivering computational biology solutions in the cloud. Dedicated to quality, well-versed in regulatory requirements for clinical genomics products, and skilled in leading cross-functional technology teams to meet product deliverables.

Listed skills include Bioinformatics, Computational Biology, Python, R, and 19 others.

Current workplace

Wayne Delport's current company

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Simplify Genomics, Inc.
Simplify Genomics, Inc.
Chief Technology Officer
AeroLeads page
9 roles

Wayne Delport work experience

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

Vice President Of Technology And Bioinformatics

San Diego, Ca, Us

Oct 2019 - Feb 2022

Bioinformatics Scientist Ii

Prognosys Biosciences

- Responsible for processing of Next Generation Sequencing Data, including the development of custom analysis approaches for novel assays being developed in-house.- Responsible for statistical analysis of large and complex sets of biological data, including microarray and next generation sequence data.- Responsible for statistical power analyses, and defining robust statistical designs for biological experiments.- Responsible for computational design of oligonucleotide probes for highly-multiplexed hybridization-based assays.- Responsible for maintaining IT infrastructure and providing desktop support to users.- Co-developed and launched web-based commercial software for analysis of RNA-Seq data. Major responsibilities included the development of web-based content management system, user-interface, data quality control procedures, automated management of Amazon Web Services compute resources and delivery of results (Technologies utilized: Python, MySQL, Unix shell scripting, Java, Java Applets, Java Web Start, Amazon Web Services, Django-Nginx-Gunicorn HTTP server, Oracle Grid Engine)

Oct 2012 - Feb 2015

Bioinformatics Scientist I

Prognosys Biosciences
Dec 2010 - Oct 2012

Project Scientist

La Jolla, Ca, Us

- Developed and implemented novel phylogenetic models of evolution in the HyPhy (www.hyphy.org) phylogenetic analysis package (Technologies utilized: HyPhy Batch Language, Unix Cluster computing).- Published papers in leading academic journals.- Assisted students, postdoctoral students and clinicians with the analysis of DNA sequence data.- Implemented several new evolutionary analyses methods on the datamonkey webserver (www.datamonkey.org), including Toggling Selection, Directional Evolution in Protein Sequences and Codon Model Selection (Technologies utilized: Perl, HyPhy Batch Language, Unix shell scripting).Implemented a HIV-1 ultradeep sequence analyses pipeline (Technologies utilized: Perl, HyPhy Batch Language, Unix shell scripting).- Co-supervised postdoctoral research students.

Apr 2009 - Dec 2010

Postdoctoral Scientist

Cape Town, Western Cape, Za

- Development, testing and implementation of novel models of sequence evolution for HIV-1 sequence analysis (Technologies utilized: HyPhy Batch Language, Unix Cluster computing).- Published papers in leading academic journals. - Co-supervised MSc and undergraduate students in the Computational Biology Group- Developed and maintained a Single Nucleotide Polymorphism MySQL database for two human genetics projects (Technologies utilized: Perl, MySQL).- Performed population genetic genome-wide analyses and prepared manuscripts for publication (Technologies utilized: MySQL, Unix shell scripting, Perl).- Presented research at local High Performance Computing and International Evolutionary Biology conference.

Jan 2006 - Mar 2009
2 education records

Wayne Delport education

Ms, Phd, Zoology, Genetics

University Of Pretoria

Bs, Biology

University Of The Witwatersrand
FAQ

Frequently asked questions about Wayne Delport

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

What company does Wayne Delport work for?

Wayne Delport works for Simplify Genomics, Inc..

What is Wayne Delport's role at Simplify Genomics, Inc.?

Wayne Delport is listed as Chief Technology Officer at Simplify Genomics, Inc..

What is Wayne Delport's email address?

AeroLeads has found 1 work email signal at @mac.com for Wayne Delport at Simplify Genomics, Inc..

Where is Wayne Delport based?

Wayne Delport is based in San Diego, California, United States while working with Simplify Genomics, Inc..

What companies has Wayne Delport worked for?

Wayne Delport has worked for Simplify Genomics, Inc., Human Longevity, Inc., Prognosys Biosciences, Uc San Diego, and University Of Cape Town.

How can I contact Wayne Delport?

You can use AeroLeads to view verified contact signals for Wayne Delport at Simplify Genomics, Inc., including work email, phone, and LinkedIn data when available.

What schools did Wayne Delport attend?

Wayne Delport holds Ms, Phd, Zoology, Genetics from University Of Pretoria.

What skills is Wayne Delport known for?

Wayne Delport is listed with skills including Bioinformatics, Computational Biology, Python, R, Sequence Analysis, Amazon Web Services, Cloud Computing, and Unix.

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