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Hanadie Yousef is a trained stem cell biologist and neurobiologist with a focus on the mechanisms of aging, with pending and issued patents, several publications, a BS from Carnegie Mellon University (CMU), a PhD from UC Berkeley, a 4-year postdoctoral fellowship at Stanford School of Medicine, experience leading research teams, and has worked in R&D at Regeneron and Genentech.    Yousef began doing biomedical research at the age of 16, when she interned locally at a pharmaceutical company in New York where she grew up, Regeneron, to conduct research on gene therapy and cancer. It was at this time that Yousef fell in love with drug discovery and development and knew she wanted to dedicate the rest of her life to this pursuit. She skipped a grade and attended CMU to study chemistry and continue her passion in scientific research. She returned to Regeneron to continue her research during winter and summer internships for 5 years (2003-2008). During her undergraduate studies at CMU, Yousef did a research honors thesis in the Kaminski lab at the University of Pittsburgh Medical Center, where she elucidated molecular mechanisms driving idiopathic pulmonary lung fibrosis.    In graduate school in the Schaffer and Conboy labs at UC Berkeley (2008-2013), Dr. Yousef studied the role of adult stem cells in the biology of aging and developed methods for tissue rejuvenation in brain and muscle. She published 4 first-author papers, a research perspective,and has an issued patent and a patent application based on her discoveries.
 
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JEREMY O'CONNELL, PHd
cso and co-founder

As CSO at Juvena Therapeutics, Dr. O'Connell guides R&D strategy and strategic level experimental design and structure for all milestones. He personally leads the proteomics division of Juvena Therapeutics R&D.

Jeremy O’Connell is a proteomics and systems biology expert with numerous publications, a PhD from UT Austin, a postdoc at Harvard, and experience leading research teams.

Dr. O'Connell began research in the USDA Crop Research Division while completing his BS in Biochemistry from the University of Wisconsin-Madison. He went on the earn his PhD in the Marcotte Lab at UT Austin, focussing on predicting the changes in intracellular protein quaternary structure changes in response to cellular stress and age by means of mass spectrometry, high throughput imaging, and computational predictions.

During his postdoctoral fellowship at Harvard Medical school in the lab of Steven Gygi he leveraged both his and the Gygi lab’s immense proteomics datasets to build several machine learning classifiers focussing on predicting protein-protein interactions within the ubiquitin system, the best of which surpassed statistical methods by >10% (manuscript in preparation).  He has spearheaded research projects in multiple tier one research institutions, including Harvard and Stanford, employing a combination of mass spectrometry and high throughput imaging as demonstrated in his 13 publications to date, several fellowships, and awards.



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