Director And Head Of Bioinformatics
Current• Developing our computational and high-throughput experimental platform to identify novel therapeutic microproteins• Building and mentoring a team of computational and experimental scientists
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@intrexon.com
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1 phone found area 760
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Stephen Federowicz is listed as Computational Biologist | Data Scientist | Team Lead at Velia, based in San Diego Metropolitan Area, United States. AeroLeads shows a work email signal at intrexon.com, phone signal with area code 760, and a matched LinkedIn profile for Stephen Federowicz.
Stephen Federowicz previously worked as Director and Head of Bioinformatics at Velia and Director Of Bioinformatics at Ideaya Biosciences. Stephen Federowicz holds Doctor Of Philosophy (Ph.D.), Bioinformatics And Systems Biology from Uc San Diego.
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Results driven individual with a strong track record of excelling in team environments. Passionate about technology, science, and the environment.
Listed skills include Bioinformatics, Computational Biology, Python, Molecular Biology, and 37 others.
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San Diego , Ca, Us
• Developing our computational and high-throughput experimental platform to identify novel therapeutic microproteins• Building and mentoring a team of computational and experimental scientists
South San Francisco, California, Us
• Developed a joint experimental and computational machine learning platform for target and biomarker discovery• Mentored, managed, and grew a team of internal and external bioinformaticians
South San Francisco, California, Us
• Crafted and executed on a company-wide strategy for optimizing the use of computational biology throughout the drug discovery and development process• Developed a machine learning based pharmacogenomics dashboard to empower and engage non-computational scientists
Pleasanton, California, Us
• Project lead for development of CRISPR screen analysis software• Technical lead for systems architecture modeling of multiplexed mammalian CRISPR editing workflows• Technical lead for development of haplotype based NGS variant calling pipelines for characterization of complex CRISPR editing outcomes
Switzerland 🇨🇭 , Ch
• Panel design and algorithm development for the AVENIO suite of oncology assays• Development of pipelines and algorithms for detection of hereditary aberrations with nanopore sequencing
Germantown, Maryland, Us
• Lead scientist and software engineer for PathX, a biochemical pathway prediction program targeted towards the discovery of novel synthesis routes for active pharmaceutical ingredients via fermentation.• Lead scientist on an internal initiative to predict expression levels of synthetic genetic constructs via machine learning and custom design of experiment algorithms• Set up pipelines for NGS to support genome editing and other internal projects
Research on global transcription factors in bacteria with a focus on metabolism and metabolic engineering. Computational modeling of metabolic systems and software architecture for big data.
Mountain View, Ca, Us
Wrote the CyAnimator plugin for Cytoscape to provide a key frame animation facility for high throughput data visualization.
Dallas, Tx, Us
Wrote software to integrate sequence variant data from NCBI with in-house epitopes.
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Stephen Federowicz works for Velia.
Stephen Federowicz is listed as Computational Biologist | Data Scientist | Team Lead at Velia.
AeroLeads has found 1 work email signal at @intrexon.com for Stephen Federowicz at Velia.
AeroLeads has found 1 phone signal(s) with area code 760 for Stephen Federowicz at Velia.
Stephen Federowicz is based in San Diego Metropolitan Area, United States while working with Velia.
Stephen Federowicz has worked for Velia, Ideaya Biosciences, Inscripta, Inc., Roche, and Intrexon.
You can use AeroLeads to view verified contact signals for Stephen Federowicz at Velia, including work email, phone, and LinkedIn data when available.
Stephen Federowicz holds Doctor Of Philosophy (Ph.D.), Bioinformatics And Systems Biology from Uc San Diego.
Stephen Federowicz is listed with skills including Bioinformatics, Computational Biology, Python, Molecular Biology, R, Matlab, Machine Learning, and Mathematical Modeling.
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