
Renana Gershoni-Poranne

CV
The Poranne Group is a research group working in the field of computational physical organic chemistry. Our work focuses on polycyclic aromatic system, ranging from fundamental investigation into molecular properties and structure-property relationships to use of machine-learning and deep-learning models for data-driven molecular design and discovery. We uncover useful and intuitive connections between structural features and molecular properties, and develop user-friendly pipelines and methods that help connect these abstract properties to real-world synthetic strategies.
In addition, we work closely with collaborators around the world to better understand the reactivity and behavior of polycyclic aromatic systems, and to leverage their unique properties for various applications. Though our current focus in on polycyclic aromatic systems, we are happy to explore other research directions.
The group believes in an inclusive and collaborative culture, where team-work and mutual respect are top priorities. We are always open to receiving new members who are excited about learning and who are motivated to work towards advancing our understanding of chemistry and molecular design.
Renana Gershoni Poranne is an Associate Professor of Computational Chemistry at the Schulich Faculty of Chemistry at the Technion-Israel Institute of Technology, where she is a Branco Weiss Fellow and Career Advancement Fellow.
Before joining the faculty at the Technion, Renana was a Senior Scientist (Group Leader) in the group of Prof. Dr. Peter Chen at the Laboratorium für Organische Chemie at the ETH Zürich. Her promotion to Senior Scientist and Lecturer in July 2017 followed a two-year post-doctoral period (as a VATAT postdoctoral fellow) in the same group. She completed her PhD studies under the supervision of Prof. Amnon Stanger in the Schulich Faculty of Chemistry at the Technion, working on elucidation of the properties of aromatic compounds and developing methodologies for the identification and quantification of aromaticity in polycyclic aromatic hydrocarbons. Prior to that, she received her MSc Summa cum Laude for her work on functionalization of corannulene in the group of Prof. Ehud Keinan, and her BSc Summa cum Laude in Molecular Biochemistry.
Renana’s research interests lie in the field of computational physical organic chemistry, with particular emphasis on development of methods and tools for better understanding of the physical properties and reactivity of organic and organo-metallic compounds. The work in her group ranges from investigation of fundamental molecular properties and concepts—such as aromaticity, dispersion, metallophilic interactions, catalysis, and mechanism elucidation—to application of machine-learning and deep-learning models for molecular design of novel polycyclic aromatic systems and discovery of structure-property relationships.