Introducing Our New 2022 MolSSI Software Fellows!
After reviewing many impressive applications, the MolSSI is pleased to announce that the Science and Software Advisory Board has selected our new 2022 Software Fellows! They are: Dr. Edan Bainglass, University of North Texas Cody Drisko, University of Notre Dame Chenru Duan, Massachusetts Institute of Technology Dr. Aria Hosseini, Massachusetts Institute of Technology Heejune Park, University of […]
MolSSI to Serve as a Partner in the NSF CHE PREC Program
The CHE Partnerships for Research and Education in Chemistry (PREC) program aims to enable, build, and grow partnerships between minority-serving institutions (MSIs) and CHE-supported Centers for Chemical Innovation, NSF’s ChemMatCARS, the Molecular Sciences Software Institute (MolSSI), or the Molecule Maker Lab Institute (MMLI) to increase recruitment, retention and degree attainment (which defines the PREC pathway) by members of those […]
MolSSI Software Fellow: Dr. Giuseppe Barbalinardo
Giuseppe Barbalinardo, PhD, one of our 2019-2020 Fellows, earned his PhD in computational chemistry at UC Davis under the direction of Prof. Davide Donadio. He is currently working as a Senior Data Scientist at Tonal, a tech company in San Francisco. Under MolSSI support, Giuseppe worked with MolSSI Software Scientist Dr. Doaa Altarway on the development of an open […]
The NSF Has Renewed the MolSSI!
We are pleased to announce that the NSF has renewed its support for the Molecular Sciences Software Institute for another five years! Since its launch in 2016, the MolSSI has served as a nexus for the broad computational molecular sciences community by providing software expertise, community engagement and leadership, and education and training. Through a broad array […]
MolSSI Software Fellow: Matthew Chan
Matthew Chan, a 2021-A Seed Software Fellow, is currently a chemical and biomolecular engineering graduate student in Prof. Diwaker Shukla’s research group at the University of Illinois at Urbana-Champaign. Under MolSSI support, Matthew worked with MolSSI Software Scientists Dr. Doaa Altarawy and Dr. Sina Mostafanejad to create a model using transfer learning that can decode the sequence, structure, and function of […]
MolSSI Workshop on HPC in Computational Chemistry and Materials Science
This fully virtual workshop will focus on parallel programming models and algorithms used in or beneficial to our community, as well as recent success stories in codes and methods development for advanced simulations in our field. One key objective of the workshop is to improve and develop the skill-sets of the next-generation of computational chemistry […]
2021 Interoperability Workshop
In 2017, the MolSSI held an Interoperability Workshop during which we asked the community to clarify current needs for interoperability among computational molecular sciences (CMS) codes. We have spent the past four years diligently working towards general solutions to these complex problems, and are excited to announce that several MolSSI interoperability projects are ready for […]
MolSSI Software Fellow: Dr. Marc Riera Riambau
Marc Riera Riambau, PhD, one of our 2018/2019 Seed and Investment Fellows, earned his PhD in computational chemistry at UC San Diego under the direction of Prof. Francesco Paesani. He is currently working as a postdoc at UCSD toward the development of a molecular dynamics package that will enable simulations using extremely accurate potential energy surfaces. […]
MolSSI Software Fellow: Caitlin C. Bannan
Dr. Caitlin C. Bannan, one of our former MolSSI Software Seed and Investment Fellows, is currently a Scientific Developer at OpenEye Scientific Software in New Mexico. She earned her PhD at UC Irvine with Prof. David Mobley. Her experience focuses on improving computational methods for small molecule drug design with expertise in alchemical free energy calculations, machine learning […]
MolSSI Software Fellow: Bradley Dice
Bradley Dice, one of our current MolSSI Software Investment Fellows, is now completing his PhD in Physics and Scientific Computing at the University of Michigan with Prof. Sharon C. Glotzer, who is a former member of our Sciences and Software Advisory Board (SSAB)! Bradley is working with Dr. Doaa Altarawy on developing powerful parallel analysis tools […]