Poster Session I

Thursday/Friday, January 8/9, 2026

#	Name	Institution	Title
1	Davis, John	UC Berkeley	A Playground of Dynamics: MHz XPCS of Supercooled and Jammed Nanocrystal Liquids
2	Das, Sohom	UC Berkeley	Pattern formation in proliferating active matter under confinement
3	Floyd, Carlos	University of Chicago	In-context learning through chemical reaction dynamics
4	Alsallom, Faisal	UC Berkeley	Origin of Edge Currents in Chiral Active Liquids
5	Gubbala, Aakanksha	Stanford University	Statistical theory of force chains in granular media
6	Obenauer, Moritz	Princeton University	Controlling Dynamical Order-Disorder Transitions in Driven Lattice Gases
7	Moon, Seokjin	UC Berkeley	Field-driven nonlinear transport in concentrated electrolyte
8	Yuan, Beijia	Princeton University	A framework for finding interpretable sequence features governing biopolymer interactions
9	Wang, Xiaoyu	UC Berkeley	Distilling Long-Range Electrostatics from Foundation Models.
10	Evans, Daniel	UC Berkeley	Temporal Oscillations that Continuously Decrease a Free Energy
11	Wall, Vivian	UC Berkeley	Mechanisms underlying light-assisted nanocrystal superlattice self-assembly
12	Tempkin, Jeremy	Lawrence Livermore National Laboratory	Reaction pathways of BRAF activation determined using the Multiscale Machine-learned Modeling Infrastructure (MuMMI)
13	Weiner, Eric	UC Berkeley	A Calculus Framework for Multicomponent Gradient Transport
14	Strand, Nils	University of Chicago	Adaptive tensor train metadynamics for high-dimensional free energy exploration
15	Kim, Dongjin	UC Berkeley	Long-range electrostatics in Machine Learning Interatomic Potentials using Latent Ewald Summation (LES)
16	Rana, Rohit	UC Berkeley	Path Integral Monte Carlo Framework for Exciton Polaron Binding from First Principles
17	Hasyim, Muhammad R.	New York University	Nonthermal Aging of Supercooled Liquids in Optical Cavities
18	Bordia, Gautam	UC Berkeley	Self-Assembly of Anisotropic Particles on Curved Surfaces
19	King, David	UC Berkeley & LBNL	Active Particles Destabilize Passive Membranes
20	Savoj, Roya	UC Berkeley	Computing Chemical Potentials of Multi-component Solutions from Structure Factors
21	Fernandes, Joshua	UC Berkeley	The role of geometry in biological electrical signaling
22	Murphy, Cathryn	Northwestern University	Reliability and Dissipation in Series Networks of Low-Voltage CMOS Bits
23	Chen, Songela	UC Berkeley	Optimal control of bit erasure in stochastic random access memory
25	Sawchuk, Jordan	Simon Fraser University	Equivalence of commute-time geometry, resistance distance, and thermodynamic geometry in slowly driven Markov chains
26	Mathews, Elias	Stanford University	Linear Hydrodynamics from Microscopic Snapshots
27	Hou, Bokang	UC Berkeley	Nonradiative Exciton Relaxation in Colloidal Semiconductor Nanocrystals
28	Pannir-Sivajothi, Sindhana	UC Berkeley	Spin Polarization From Circularly Polarized Light Induced Charge Transfer
29	Wiethorn, Zach	University of Colorado, Boulder	Timescale separation unlocks porphyrin photophysics
31	Bhattacharyya, Srijan	University of Colorado, Boulder	Accurate & efficient quantum dynamics to predict charge transport in transition metal oxides

Poster Session II

Saturday, January 10, 2026

#	Name	Institution	Title
1	Farhadi, Jafar *Please note that he cannot give a talk due to his speech disorder	UC Berkeley	Large deviations of ionic currents in dilute electrolytes
2	Sheraj, Md Mohtasir Billah	The University of Texas at Austin	Dielectric permittivity of a lipid bilayer: Theory and simulations
3	Oaks-Leaf, Sam	UC Berkeley	Mapping Out the Phase Space of Anisotropic Faceted Nanocrystals
4	DuBay, Kateri	University of Virginia	Shifting copolymer block length distributions with pre-formed seeds
5	Hausman, Nicholas	Stanford University	Automated Insights and Guidance of Two-Dimensional Electronic Spectroscopy Using Machine Learning
6	Coello Escalante, Leonardo	UC Berkeley	A theory of electron transfer in low-dimensional electrodes
7	Grabe, Michael	UCSF	Buckled lipid bilayers reveal the nonlinear membrane mechanics of tilt, stretch, and bend
8	Chen, Michael	New York University	Sampling Free Energy Landscapes of Ionic Colloidal Crystal Systems using Machine Learning-Accelerated Collective Variables
9	Cho, Yongick	Institute of Science and Technology Austria	Nonequilibrium Behaviors of Chemically Driven Fluids
10	Kelly, Joseph	Stanford University	Quantum Dynamics and Machine Learning for Two-Dimensional Electronic Spectroscopy
11	Ghimenti, Federico	Stanford University	Geometry and optimization dynamics in the coherent Ising machine with hidden and planted solutions
12	Liu, Zhuang	Princeton University	Data-informed Physical Model of Multicomponent Intrinsically Disordered Protein Interactions Enables Quantitatively Accurate Phase Diagram Prediction
13	Singh, Aditya	University of Chicago	Top down approaches to interaction landscapes
14	Zhuang, Bilin and Wang, Haiqin	Harvey Mudd College	Hybrid Adaptive Particle-Continuum Simulation Method for Aqueous Solution
15	Ning, Sirui	UC Berkeley	Electromechanics of charged-biological membranes: dynamics, instabilities, and signaling
16	Leighton, Matthew	Yale University	Thermodynamic Inference for Nonequilibrium Cooling
17	Arora, Pragya	Stanford University	Imaging Colloidal Force Chains via a Fluorescent Analog of Photoelasticity
18	Dunne, Steven	Stanford University	Rigorous Protein Backmapping with Transformers
19	Hu, Frank	Stanford University	Pushing the limits of one-dimensional NMR spectroscopy for automated structure elucidation using artificial intelligence
20	Solanki, Aashi	University of Colorado, Boulder	Clocking In and Out: Coherence Stability Near Clock Transitions
21	Park, Abigail	Stanford University	Scaling Transferable Coarse-graining with Mean Force Matching
22	Murphy, Madeline	California Institute of Technology	Transport-Driven Origins of Cation Effects in Electrochemical Nitrate Reduction
23	Dominic, Anthony	University of Colorado, Boulder	A critical assessment of non-Markovian memory effects in biomolecular dynamics
24	Ibarraran, Sebastian	Stanford University	Guiding Protein Language Models for Directed Evolution Using Energy Alignment
25	Lynn, Christopher	Yale University	Simple low-dimensional computations explain neuronal activity
26	Zhang, Lizhu	University of Pennsylvania	How Chemical Patterning Shapes Hydrophobic Interactions
27	Heller, Eric	UC Berkeley	Pattern stability in reaction-diffusion systems depends on path entropy
28	Zhao, Viola	UC Berkeley	Nonlinear Isotropic Odd Diffusion in Three Dimensions
29	Nelson, Kai	UC Berkeley	Observable Alignment from Simulation to Experimental Systems
30	Li, Sherry	Stanford University	Load-Dependent Catch Bonds Drive the Self-Organization of Sarcomeres
31	Grimm, Ryan	University of Colorado, Boulder	Spectral Tensor Networks for Computational Statistical Mechanics
32	Rana, Chinmay	UC Berkeley	IR Spectra from an E(3)-equivariant Machine Learning Interatomic Potential using Latent Ewald Summation