Dr. Gabe da Hora
Computational Chemist
Postdoctoral Research Associate @ University of Utah
Dr. Gabe da Hora
Computational Chemist
Postdoctoral Research Associate @ University of Utah
Gabe (Gabriel) Costa da Hora is a Postdoctoral Research Associate at the Department of Chemistry of the University of Utah, USA. He has been working under the supervision of Dr. Jessica MJ Swanson since October 2019. Gabe’s research focuses on using Molecular Dynamics simulations and Enhanced Sampling Methods to study biological processes. He has published 14 articles and recently got a paper accepted on Toxins about mycolactone A versus mycolactone B. Pre-print version available:
Gabe (Gabriel) Costa da Hora is a Postdoctoral Research Associate at the Department of Chemistry of the University of Utah, USA. He has been working under the supervision of Dr. Jessica MJ Swanson since October 2019. Gabe’s research focuses on using Molecular Dynamics simulations and Enhanced Sampling Methods to study biological processes. He has published 14 articles and recently got a paper accepted on Toxins about mycolactone A versus mycolactone B. Pre-print version available:
With an extensive academic background in Computational Chemistry, Gabe has worked with Molecular Dynamics, Free-energy, and Enhanced Sampling Methods to investigate biologically active compounds and energy landscapes. In his current position, his research involves applying multiscale approaches to characterize biophysical processes such as the mechanism of folding and action of peptides and membrane permeation of toxins and drugs. He has also employed machine-learning-driven algorithms in drug delivery simulations. Gabe is now also venturing into simulations of pMMO and other methanotrophs to address climate change by investigating their potential for mitigating methane emissions.
With an extensive academic background in Computational Chemistry, Gabe has worked with Molecular Dynamics, Free-energy, and Enhanced Sampling Methods to investigate biologically active compounds and energy landscapes. In his current position, his research involves applying multiscale approaches to characterize biophysical processes such as the mechanism of folding and action of peptides and membrane permeation of toxins and drugs. He has also employed machine-learning-driven algorithms in drug delivery simulations. Gabe is now also venturing into simulations of pMMO and other methanotrophs to address climate change by investigating their potential for mitigating methane emissions.
Before joining the UofU, Gabe was a Visiting Postdoc Researcher at UC Davis (2018–2019) under the supervision of Prof. Dr. Roland Faller, and a Postdoctoral Scholar at UFPE (2016-2018) with Prof. Dr. Thereza Soares. Gabe’s educational background includes a Ph.D. in Chemistry from UFPE in Brazil (2011-2016), with a Ph.D. internship at UC Davis (2014-2015). He also holds an M.Sc. (2009-2011) and a B.Sc. in Chemistry from UFPE (2005-2008).
Before joining the UofU, Gabe was a Visiting Postdoc Researcher at UC Davis (2018–2019) under the supervision of Prof. Dr. Roland Faller, and a Postdoctoral Scholar at UFPE (2016-2018) with Prof. Dr. Thereza Soares. Gabe’s educational background includes a Ph.D. in Chemistry from UFPE in Brazil (2011-2016), with a Ph.D. internship at UC Davis (2014-2015). He also holds an M.Sc. (2009-2011) and a B.Sc. in Chemistry from UFPE (2005-2008).
Beyond his research experience, Gabe has supervised several students since 2017, established a group wiki to foster knowledge sharing, and has experience with different operating systems, especially UNIX-based systems such as Linux and macOS. He worked in the administration group of the local HPC cluster during his Master’s and Ph.D. studies at UFPE and is a member of the User Advisory Council of the Center for High-Performance Computing (CHPC) at Utah.
Beyond his research experience, Gabe has supervised several students since 2017, established a group wiki to foster knowledge sharing, and has experience with different operating systems, especially UNIX-based systems such as Linux and macOS. He worked in the administration group of the local HPC cluster during his Master’s and Ph.D. studies at UFPE and is a member of the User Advisory Council of the Center for High-Performance Computing (CHPC) at Utah.
To learn more about Gabe’s work and achievements as a Computational Chemist, please visit the other sections of this website or check out his CV
To learn more about Gabe’s work and achievements as a Computational Chemist, please visit the other sections of this website or check out his CV