PDF: CV_Lynn
EDUCATION:
University of Pennsylvania, Philadelphia, PA
Ph.D. in Physics
GPA: 4.0
Advisor: Danielle S. Bassett
2020
Swarthmore College, Swarthmore, PA
B.A. in Physics with High Honors
B.A. in Mathematics
2014
RESEARCH EXPERIENCE:
Research Interests: Statistical mechanics, information theory, network science, computational neuroscience, control theory
City University of New York and Princeton University, Center for the Physics of Biological Function
James S. McDonnell Postdoctoral Fellow with Prof. William Bialek and David J. Schwab
2020 – Present
University of Pennsylvania, Departments of Bioengineering & Electrical and Systems Engineering
Graduate Research Assistant with Prof. Danielle S. Bassett
2017 – 2020
University of Pennsylvania, Department of Electrical and Systems Engineering
Graduate Research Assistant with Prof. Daniel D. Lee
2015 – 2018
Fermi National Laboratory, Accelerator Physics Center
Lee Teng Fellow in Accelerator Science and Engineering with Dr. Tanaji Sen
2013 – 2014
University of Texas, Austin, Institute for Computational Engineering and Sciences
Moncrief Undergraduate Intern with Prof. Dmitrii E. Makarov
2012
Swarthmore College, Department of Physics and Astronomy
Undergraduate Research Assistant with Prof. John Boccio
2011 – 2012
GRANTS & AWARDS:
James S. McDonnell Postdoctoral Fellowship. 2019.
Sackler Colloquium Travel Award. 2019.
APS Division of Biological Physics (DBIO) Shirley Chan Student Travel Grant. 2019.
President Gutmann Leadership Award, University of Pennsylvania. 2018.
School of Arts and Sciences Graduate Student Government (SASgov) Travel Grant. 2018.
Graduate and Professional Student Assembly (GAPSA) Research Student Travel Grant. 2018.
APS Group on Statistical & Nonlinear Physics (GSNP) Student Speaker Award Winner. 2018.
APS Division of Condensed Matter Physics (DCMP) Graduate Student Travel Award. 2018.
Association for the Advancement of Artificial Intelligence (AAAI) Student Scholarship. 2018.
STEM Pop Talks Competition Winner, University of Pennsylvania. 2017.
Advances in Neural Information Processing Systems (NIPS) Graduate Travel Award. 2016.
Werner Teutsch Memorial Prize, University of Pennsylvania. 2015.
High Honors in Physics, Swarthmore College. 2014.
Lee Teng Fellowship in Accelerator Science and Engineering, Fermi National Laboratory. 2013.
Moncrief Undergraduate Internship, University of Texas at Austin. 2012.
CONTRIBUTED AND INVITED TALKS:
Christopher W. Lynn, Eli J. Cornblath, Lia Papadopoulos, Maxwell A. Bertolero, and Danielle S. Bassett. Non-equilibrium dynamics and entropy production in the human brain. Indiana University. Bloomington, IN, June, 2020.
Christopher W. Lynn, Lia Papadopoulos, Ari E. Kahn, and Danielle S. Bassett. Human information processing in complex networks. APS March Meeting. Denver, CO, March, 2020.
Christopher W. Lynn. Human learning and information processing with complex networks. Swarthmore College. Swarthmore, PA, February, 2020.
Christopher W. Lynn. The statistical mechanics of human behavior. Princeton-CUNY Center for the Physics of Biological Function. New York, NY, January, 2020.
Christopher W. Lynn and Danielle S. Bassett. Quantifying how humans learn and receive information from communication networks. Army Research Lab Visit, University of Pennsylvania. Philadelphia, PA, January, 2020.
Christopher W. Lynn. The statistical mechanics of human behavior. Santa Fe Institute. Santa Fe, NM, January, 2020.
Christopher W. Lynn, Lia Papadopoulos, Ari E. Kahn, Nathaniel Nyema, and Danielle S. Bassett. Human learning and information processing with complex networks. Poeppel Group, New York University. New York, NY, December, 2019.
Christopher W. Lynn, Lia Papadopoulos, Ari E. Kahn, and Danielle S. Bassett. Human information processing in complex networks. Computational Linguistics Seminar, University of Pennsylvania. Philadelphia, PA, October, 2019.
Christopher W. Lynn, Lia Papadopoulos, Ari E. Kahn, and Danielle S. Bassett. Human information processing in complex networks. Computational Neuroscience Initiative, University of Pennsylvania. Philadelphia, PA, September, 2019.
Christopher W. Lynn, Lia Papadopoulos, Ari E. Kahn, and Danielle S. Bassett. Human information processing in complex networks. Plotkin Group, University of Pennsylvania. Philadelphia, PA, July, 2019.
Christopher W. Lynn, Ari E. Kahn, and Danielle S. Bassett. Structure from noise: Mental errors yield abstract representations of events. APS March Meeting. Boston, MA, March, 2019.
Christopher W. Lynn, Ari E. Kahn, and Danielle S. Bassett. Structure from noise: Mental errors yield abstract representations of events. Conference on Complex Systems. Thessaloniki, Greece, September, 2018.
Christopher W. Lynn, Lia Papadopoulos, Daniel D. Lee, and Danielle S. Bassett. Surges of collective human activity emerges from simple pairwise correlations. Conference on Complex Systems. Thessaloniki, Greece, September, 2018.
Christopher W. Lynn, Lia Papadopoulos, Daniel D. Lee, and Danielle S. Bassett. Surges of collective human activity emerges from simple pairwise correlations. CompleNet. Boston, MA, March, 2018.
Christopher W. Lynn, Lia Papadopoulos, Daniel D. Lee, and Danielle S. Bassett. Surges of collective human activity emerges from simple pairwise correlations. APS March Meeting. Los Angeles, CA, March, 2018.
Christopher W. Lynn and Daniel D. Lee. Maximizing Activity in Ising Networks via the TAP Approximation. Association for the Advancement of Artificial Intelligence. New Orleans, LA, February, 2018.
Christopher W. Lynn and Daniel D. Lee. Influence Maximization in Ising Networks. APS March Meeting. New Orleans, LA, March, 2017.
Christopher W. Lynn and Daniel D. Lee. Influence Maximization in Ising Networks. Harvard Center for Brain Science. Cambridge, MA, February, 2017.
Christopher W. Lynn and Tanaji Sen. Simulation of Channeling Radiation in Diamond. Fermi National Laboratory. Batavia, IL, August, 2013.
POSTER PRESENTATIONS:
Christopher W. Lynn, Lia Papadopoulos, Ari E. Kahn, and Danielle S. Bassett. Human information processing in complex networks. Interdisciplinary Advances in Statistical Learning. San Sebastian, Spain, June, 2019.
Christopher W. Lynn, Ari E. Kahn, and Danielle S. Bassett. Structure from noise: Mental errors yield abstract representations of events. Context & Episodic Memory Symposium. Philadelphia, PA, May, 2019.
Christopher W. Lynn, Lia Papadopoulos, Ari E. Kahn, and Danielle S. Bassett. Human information processing in complex networks. Sackler Colloquium: Brain Produces Mind by Modeling. Irvine, CA, May, 2019.
Christopher W. Lynn, Ari E. Kahn, and Danielle S. Bassett. Structure from noise: Mental errors yield abstract representations of events. Emory Theoretical Biophysics Workshop. Atlanta, GA, January, 2019.
Christopher W. Lynn, Ari E. Kahn, and Danielle S. Bassett. Structure from noise: Mental errors yield abstract representations of events. Conference on Cognitive and Computational Neuroscience. Philadelphia, PA, September, 2018.
Christopher W. Lynn and Daniel D. Lee. Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution. Advances in Neural Information Processing Systems. Barcelona, Spain, December, 2016.
TEACHING EXPERIENCE:
Guest Lecturer, University of Pennsylvania:
Network Neuroscience, Department of Bioengineering. Fall 2019.
Network Neuroscience, Department of Bioengineering. Fall 2017.
Teaching Assistant, University of Pennsylvania:
Networked Life, Department of Networked and Social Systems Engineering. Fall 2015.
Principles II (Electricity & Magnetism), Department of Physics and Astronomy. Spring 2015.
Principles I (Classical Mechanics), Department of Physics and Astronomy. Fall 2014.
ACADEMIC & COMMUNITY SERVICE:
Referee:
Scientific Reports. 2020.
Entropy, reviewer board. 2020 – Present.
Network Science. 2020.
Journal of Complex Networks. 2019.
IEEE Conference on Decision and Control (CDC). 2017.
Advances in Neural Information Processing Systems (NIPS). 2016.
Founder & Organizer:
“Whiskey Seminar Series,” University of Pennsylvania. 2015 – 2019.
Weekly forum for physics graduate students and postdocs to develop their presentation skills by speaking about their research.
Volunteer Instructor:
Discovery Summer Camp at the Franklin Institute, Philadelphia, PA. 2015 – 2018.
Collaborate with other science graduate students to plan and teach weekly workshops for children, with the goal of sparking interest in science and developing critical thinking skills.
Member:
American Physical Society. 2016 – Present.
Association for the Advancement of Artificial Intelligence. 2017 – 2018.