Greg Cope Email & Phone Number
@codexis.com
1 phone found area 650
LinkedIn matched
Who is Greg Cope? Overview
A concise factual answer block for searchers comparing this professional profile.
Greg Cope is listed as Research Fellow (Bioinformatics) at Codexis, Inc., a with 211 employees, based in Menlo Park, California, United States. AeroLeads shows a work email signal at codexis.com, phone signal with area code 650, and a matched LinkedIn profile for Greg Cope.
Greg Cope previously worked as Senior Bioinformatics Scientist at Codexis, Inc. and Post-doctoral Scholar at Stanford University. Greg Cope holds Phd, Biochemistry from Caltech.
Email format at Codexis, Inc.
This section adds company-level context without repeating Greg Cope's masked contact details.
AeroLeads found 3 current-domain work email signals for Greg Cope. Compare company email patterns before reaching out.
About Greg Cope
Computational biologist with a broad background in software engineering and development, statistics, machine learning, biochemistry, molecular biology, and genetics.Technical Skills:● Programming (Java, Python, R, Javascript, PHP, Perl, C, C++, Objective-C)● Databases (Oracle, MySQL, PostrgreSQL, Hadoop, Cassandra)● UI and Web Development (Swing, JavaFX, Vaadin, HTML, CSS, Javascript, REST, PHP, OpenGL, JSP, Servlets)● Statistics (probability, hypothesis testing, regression, Bayesian statistics and networks)● Machine Learning (regression, classification, neural networks and deep learning)● Biochemistry, genetics, and molecular biology (experimental design and interpretation, next-gen sequencing, proteomics, transcriptomics)
Listed skills include Bioinformatics, Molecular Biology, Genomics, Biochemistry, and 38 others.
Greg Cope's current company
Company context helps verify the profile and gives searchers a useful next step.
Greg Cope work experience
A career timeline built from the work history available for this profile.
Senior Bioinformatics Scientist
Develop computational tools for directed evolution, with a focus on improving Codexis' core technology. ● Develop and manage software for statistical analysis, machine learning, automation, and data management. Includes stand-alone and enterprise applications, RESTful web services, systems integration, deployment to 3rd party licensees, and end-user training. ● Build machine learning workflows for directed evolution. Invented MOSAIC, as well as other proprietary methods using bayesian statistics, classification, regression, and deep learning.● Built and manage high-throughput next-gen sequencing bioinformatics pipeline. Includes automation of sequence alignment, snp calling, quality control, and data management as well as a front end user interface for interpretation by molecular biologists.● Built and manage Codexis' data search engine. Includes integration of RDBMS and NoSQL systems, cloud computing, RESTful web services, and user interfaces to enable scripting of search queries. ● Support molecular biology, biochemistry, and computational biology project teams with statistical analytics, automation, and scripting.
Post-Doctoral Scholar
Studied centrosome duplication and cilia formation using genetics and molecular biology, bioinformatics, genomics, and molecular imaging of mammalian cells. Authored several bioinformatic tools - both web and stand alone applications - to help bench scientists mine data and automate tasks.
Graduate Student
Identified the enzyme responsible for Cullin deneddylation using in vitro biochemical assays, molecular biology, yeast genetics and phenotype analysis, proteomics, and mammalian cell culture analysis. Collaborated with seven labs specializing in bioinformatics, mass spectrometry, Drosophila genetics, Arabidopsis genetics, and chromosome analysis
Research Assistant
Colleagues at Codexis, Inc.
Other employees you can reach at codexis.com. View company contacts for 211 employees →
Ouma Onguka
Colleague at Codexis, Inc.Redwood City, California, United States
View →
DE
David Elgart
Colleague at Codexis, Inc.San Mateo, California, United States
View →
NK
Nikki Kruse
Colleague at Codexis, Inc.Redwood City, California, United States
View →
PF
Philippe Faucher
Colleague at Codexis, Inc.Greater Paris Metropolitan Region, France
View →
JL
Jose Lopez
Colleague at Codexis, Inc.Mountain View, California, United States
View →
JB
Jim Bentley
Colleague at Codexis, Inc.Sunnyvale, California, United States
View →
JU
Juan Undefined
Colleague at Codexis, Inc.Warsaw, Mazowieckie, Poland
View →
AT
Amanda Tan
Colleague at Codexis, Inc.Redwood City, California, United States
View →
HM
Hugh Mcmullin
Colleague at Codexis, Inc.San Francisco Bay Area, United States
View →
CF
Cecil Fletcher
Colleague at Codexis, Inc.Dublin, California, United States
View →
Greg Cope education
Phd, Biochemistry
Postdoc, Biology/Bioinformatics
B.S., Biochemistry
Frequently asked questions about Greg Cope
Quick answers generated from the profile data available on this page.
What company does Greg Cope work for?
Greg Cope works for Codexis, Inc..
What is Greg Cope's role at Codexis, Inc.?
Greg Cope is listed as Research Fellow (Bioinformatics) at Codexis, Inc..
What is Greg Cope's email address?
AeroLeads has found 3 work email signals at @codexis.com for Greg Cope at Codexis, Inc..
What is Greg Cope's phone number?
AeroLeads has found 1 phone signal(s) with area code 650 for Greg Cope at Codexis, Inc..
Where is Greg Cope based?
Greg Cope is based in Menlo Park, California, United States while working with Codexis, Inc..
What companies has Greg Cope worked for?
Greg Cope has worked for Codexis, Inc., Stanford University, California Institute Of Technology, and Santa Cruz Biotechnology.
Who are Greg Cope's colleagues at Codexis, Inc.?
Greg Cope's colleagues at Codexis, Inc. include Ouma Onguka, David Elgart, Nikki Kruse, Philippe Faucher, and Jose Lopez.
How can I contact Greg Cope?
You can use AeroLeads to view verified contact signals for Greg Cope at Codexis, Inc., including work email, phone, and LinkedIn data when available.
What schools did Greg Cope attend?
Greg Cope holds Phd, Biochemistry from Caltech.
What skills is Greg Cope known for?
Greg Cope is listed with skills including Bioinformatics, Molecular Biology, Genomics, Biochemistry, High Throughput Screening, R, Proteomics, and Cell Biology.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trialCheck these profiles if this is not the Greg Cope you were looking for.
View similar profiles