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BENJAMIN RUDSHTEYN, Postdoctoral Research Fellow in Chemistry

Major: Columbia University

College/Employer: Columbia University

Year of Graduation: PhD

Picture of Benjamin Rudshteyn

Brief Biographical Sketch:

I am currently an NIH F32 Postdoctoral Research Fellow in Richard Friesner's group in the Chemistry Department at Columbia University using Auxiliary Field Quantum Monte Carlo to study transition metal containing systems.

I hold a B.S. degree in chemistry from Macaulay Honors College program at Brooklyn College/CUNY (2013) and a Ph.D. in computational/physical chemistry from Yale University (2018).

Past Classes

  (Clicking a class title will bring you to the course's section of the corresponding course catalog)

S609: Introduction to Computer-Aided Drug Design in Rainstorm Spring 2021 (May. 15 - 16, 2021)
This course is a brief introduction to computer-aided drug design (CADD) which uses the tools of computational chemistry and data science to aid the process of drug discovery and how almost everything you learned about the lock and key model of protein-ligand binding is wrong. Concepts include, but are not limited to, the drug discovery pipeline and associated costs, Lipinski's rule of five, structure-function relationships, hit Identification, lead optimization, ligand-based vs. structure-based design, high-throughput virtual screening, agonist vs. antagonist, decoys, selectivity and side effects, allosteric interactions, assays, and more advanced computational methods.

S610: Chemical Origins of Life in Rainstorm Spring 2021 (May. 15 - 16, 2021)
This course is a brief introduction to the various current ideas about how life started on our planet from a chemical point view (abiogenesis). Topics to be discussed include, but are not limited to the primordial soup hypothesis, Miller-Urey experiment, the RNA world hypothesis, Orgel's paradox, homochirality, protocells, and metabolism.

S484: The Unscientific Method: Challenges Facing Science As A Discipline in Rainstorm Fall 2020 (Dec. 05 - 06, 2020)
This class gives an overview of challenges facing science as a discipline. We’ll discuss how the Scientific Method should work and how it should plays out in practice in terms of topics such as the the following: Publishing Peer review Plagiarism Scientific misconduct Public relations Unconscious bias Reproducibility

S485: Introduction to Computational Chemistry in Rainstorm Fall 2020 (Dec. 05 - 06, 2020)
Computational chemistry is the branch of chemistry that uses computers to solve equations from quantum mechanics to solve problems in chemistry such as predicting the structure, properties, and patterns of reactivity of molecules. This course will be a very math-lite survey of what computational chemistry is about and the fundamental balance of computational expediency and accuracy.

S293: Chemophobia: What's a Chemical? in Rainstorm Spring 2020 (May. 30 - 31, 2020)
This class gives an overview of the phenomenon of chemophobia, the fear of chemicals (not of organic chemistry as a class!). It will define the terminology of chemicals, including the difference between natural and artificial chemicals and how one is not necessarily better than the other.