Christopher Wall

Senior Scientist at Empirico Inc.

Christopher Wall has a diverse work experience in the field of biosciences. Christopher is currently working as a Senior Scientist at Empirico Inc. since June 2023. Previously, they worked at Avidity Biosciences, Inc. as a Senior Scientist from January 2021 to November 2022 and as a Scientist from May 2020 to December 2020. Before that, Wall worked as a Postdoctoral Fellow at Genentech from January 2016 to April 2020, focusing on mitochondrial function and quality control in neurodegenerative diseases. Christopher also has experience as a Graduate Student at the University of California, San Diego - Salk Institute for Biological Studies from January 2011 to June 2015, where they studied metabolic homeostasis and mitochondrial function in a mouse model of mitochondrial disease. Additionally, Wall worked as a Research Assistant at the University of Colorado Boulder from May 2008 to August 2010, studying metabolic regulation and cardiac function in Burmese pythons. Christopher also served as a Teaching Assistant and Lab Instructor for various courses at the University of Colorado Boulder from August 2007 to May 2010.

Christopher Wall earned a Ph.D. in Biomedical Sciences from UC San Diego from 2010 to 2015. Prior to that, they completed their undergraduate studies at the University of Colorado Boulder, where they obtained a B.A. in Molecular, Cellular, and Developmental Biology from 2006 to 2009. Additionally, they have obtained several certifications, including "From the Laboratory to Leadership" from The Leadership Edge in March 2022, a Micro MBA from the University of California, San Diego - Rady School of Management in November 2014, and a Certificate in College Teaching from the University of Colorado at Boulder's Graduate Teacher Program in December 2009.

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San Diego, United States

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Empirico Inc.

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Empirico is a developer of an insights platform designed to turn biological insights from human genetics into new medicines.The company's platform uses biological datasets, human genetics, and programmable biology to power target discovery and development, enabling scientists to systematically generate, interrogate, and prioritizehigh-confidence therapeutic hypotheses.


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11-50

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