Alfred Farris

Visiting Assistant Professor of Physics

Education

AA| Oxford College of Emory University| 2011

BS| Emory University| 2013

PhD| University of Georgia| 2019

Accomplishments

William P. Cummings Award for Excellence as a Student and TeacherDepartment of Physics and Astronomy, University of Georgia (2019).

Sean M. Kirkpatrick Award for Outstanding Achievement in Graduate ResearchDepartment of Physics and Astronomy, University of Georgia (2018).

Excellence in Teaching AwardThe Center for Teaching and Learning and The Graduate School, University of Georgia (2018).

APS - SBF Travel GrantAmerican Physical Society (2017).

Future Faculty Program FellowThe Center for Teaching and Learning, University of Georgia (2016-2017).

Outstanding Teaching Assistant AwardThe Center for Teaching and Learning, University of Georgia (2016).

Publications

  • "A First Look at Lattice Effects in Coarse-Grained Protein Models via Wang-Landau Simulations"A. C. K. Farris, D. T. Seaton and D. P. Landau, J. Phys. Conf. Ser. 1290, 012019 (2019).
  • "Crambin Homologues in the H0P Lattice Protein Model", Z. Zhang, A. C. K. Farris, G. Shi, T. Wüst, and D. P. Landau, J. Phys. Conf. Ser. 1290, 012018 (2019).
  • "Statistical Physics Meets Biochemistry: Wang-Landau Sampling of the HP Model of Protein Folding"A. C. K. Farris, T. Wüst, and D. P. Landau, Am. J. Phys., 87, 4 (2019). [Editors' Pick]
  • "Histogram-Free Multicanonical Monte Carlo Sampling to Calculate the Density of States", A. C. K. Farris, Y. W. Li, and M. Eisenbach, Comput. Phys. Commun., 235, 297-304 (2019).
  • "The Role of Chain-Stiffness in Lattice Protein Models: A Replica-Exchange Wang-Landau Study"A. C. K. Farris, G. Shi, T. Wüst, and D. P. Landau, J. Chem. Phys. 149, 125101 (2018).
  • "Effects of Stiffness on Low Energy States in a Lattice Protein Model for Crambin", A. C. K. Farris, G. Shi, T. Wüst, and D. P. Landau, J. Phys.: Conf. Ser. 1012, 012008 (2018).
  • "Folding in a semi-flexible lattice model for Crambin", G. Shi, A. C. K. Farris, T. Wüst, and D. P. Landau, J. Phys.: Conf. Ser. 686, 012001 (2016).
  • "Renormalization group solution of the Chutes & Ladder model", L. A. Ball, A. C. K. Farris, and S. Boettcher, Physica A 421, 171-179 (2015).

Presentations

  • “Statistical Physics Meets Biochemistry: Monte Carlo Simulations of Coarse-Grained Protein Models”. Bioengineering Seminar, University of Georgia. Apr. 2019
  • "Removing Lattice Constraints from Lattice Protein Models: A Wang-Landau Study”. American Physical Society March Meeting. Boston, MA. Mar. 2019
  • "Effects of Lattice Constraints in the HP Lattice Protein Model”. Center for Simulational Physics 32nd Annual Workshop, University of Georgia. Feb. 2019
  • "An Improved Multicanonical Monte Carlo Algorithm for the Basis Expansion of the Density of States”. IUPAP Conference on Computational Physics. Davis, CA. Aug. 2018
  • "Investigating Protein Folding via Monte Carlo Simulations and Statistical Physics”. West Coast University School of Pharmacy. Los Angeles, CA. Mar. 2018
  • “Monte Carlo Simulations of Coarse-Grained Protein Models for Crambin”. American Physical Society March Meeting. Los Angeles, CA. Mar. 2018
  • "Wang-Landau Simulations of Coarse-Grained Protein Models for Crambin”. Center for Simulational Physics 31st Annual Workshop, University of Georgia. Feb. 2018
  • “Exploring Effects of Rigidity in a Semi-flexible Lattice Model for Crambin: A REWL Study”. 9th Brazilian Meeting on Simulational Physics. Natal, Brazil. Aug. 2017
  • “Replica-Exchange Wang-Landau Simulations of a Semi-flexible H0P Lattice Protein Model for Crambin”. American Physical Society March Meeting. New Orleans, LA. Mar. 2017
  • “The Lab in Col-LAB-oration: Group and Problem-based Learning in the STEM Classroom”. Teaching Assistant Workshop Symposium, University of Georgia. Feb. 2017
  • “Developing an Academic Curiosity”. National Honor Society Induction Ceremony, Holy Innocents’ Episcopal School, Atlanta, GA. Nov. 2016
  • "Introduction to Laboratory Teaching”. Teaching Assistant Orientation, University of Georgia. Aug. 2016

Research Interests

My research interests center around Monte Carlo simulations and their application to biochemistry-inspired problems in computational statistical physics. 

Research Interest 1: Development and analysis of phenomenological models for protein folding using Wang-Landau and Multicanonical sampling, with the goal of gaining insight into the protein folding process as well as understanding the limitations associated with various levels of coarse-graining. 

Research Interest 2: Development of new Monte Carlo algorithms for use in computational statistical physics. Specifically, the development of simulational frameworks that may prove particularly useful for systems with continuous state variables.