Below are the registered posters for the 2022 q-bio Conference.

Group A

• A1 (Spotlight) Eric Medwedeff, University of California, Irvine, Approximate Simulations of Cortical Microtubules using Dynamical Graph Grammars
• A2 (Spotlight) Sydney Alderfer, Colorado State University, ONLINE PITCH – Linking Cell Morphology to Cell Identity Using Machine Learning
• A3 (Spotlight) Louis Gonzalez, Flow Sensing in Cancer at High Cell Density
• A4 Manu Aggarwal, Is that a chromatin loop or not? Scaling Persistent Homology to Large Biological Datasets
• A5 Luis Aguilera, RNA Sequence to NAscent Protein Experiment Designer (rSNAPed)
• A6 Hoda Akl, An Extended Ensemble Approach for Protein Sequence Variation
• A7 Ravi Balasubramanian, Cell-type specific alternative transcripts facilitate multicellularity in the alga Volvox carteri
• A8 Blake Baleami, Ion channel dysregulation and ferroptosis susceptibility in a heterogeneous DTP state
• A9 Caroline Blassick, ONLINE PITCH – A light-inducible GadX transcription factor for gene network characterization and control
• A10 James Brunner, Uncovering the dynamically changing interaction networks of microbial ecosystems.
• A11 Cristian Caranica, A Data-Driven Optimization Method for Coarse-Graining Gene Regulatory Networks
• A12 Benjamin Clauss, The Role of Gene Circuit Motifs and their Coupling in State Distributions
• A13 Joshua Cook, ONLINE PITCH – Automated pipeline to process single-molecule Fluorescence In Situ Hybridization (smFISH) images
• A14 Diana Coroiu, A Bio-electrical Interface for Biosensing Purposes
• A15 Evan Cresswell-Clay, Direct-Coupling analysis of protein structure using Expectation Reflection
• A16 Purushottam Dixit, SMbiot: A Shared Latent Model for Microbiomes and their Hosts
• A17 David Duran-Chaparro, Study of single-cell dynamics of S. cerevisiae in a low-pressure microfluidic device
• A18 Harold Flohr, Cellular Resistance Evolution in Fluctuating Drug Environments
• A19 Vitaly Ganusov, ONLINE PITCH – Correlation between speed and turning naturally arises in simulations of persistent random walks with sub-sampled trajectories
• A20 Abdulai Gassama, Energy Functional and Patterns of Cellular Membranes
• A21 Hao Geng, Gene regulation in natural systems is optimized for specific dynamic regimens
• A22 Andrew Goetz, Information Transmission by Heterogeneous Cell Populations
• A23 Mariana Gómez-Schiavon, CoRa –A general approach for quantifying biological feedback control

Group B

• B1 (Spotlight) Pawel Nalez-Jawecki, Information transmission rate through the MAPK/ERK pathway
• B2 (Spotlight) Gembu Maryu, Nuclear-cytoplasmic compartmentalization of cyclin B1- Cdk1 promotes robust timing of mitotic events
• B3 Zhanhao (Charlie) Zhang, Activator-repressor based genetic oscillator in the presence of decoy binding sites
• B4 Leonard Harris, A biochemical model of necroptosis explains cell type-specific responses to cell-death cues
• B5 Hollie Hindley, ONLINE PITCH – A model of RNA repair to study antibiotic tolerance
• B6 Jason Hughes, Quantitative RNA-FISH Probe Design
• B7 Mark Greenwood, Using Computational Approaches to Redesign Endocrine Disrupting Compound In-vitro Assays
• B8 Barbara Jones, ONLINE PITCH – Host-based Viral Evolution and Mutation
• B9 Kyeri Kim, Mapping single-cell responses to population dynamics in beta-lactam treatment
• B10 Maria Kochugaeva, Single Cell Live Imaging Data Sheds Light on Megakaryocytic-Erythroid Progenitor
• B11 Kevin Lear, Dynamic Reversal Potential Model Reproduces Evolution of Action Potential Attributes
• B12 Jonathan Lifferth, ONLINE PITCH – AKT inhibition reduces cell motility in CD90+ Hepatocellular Carcinoma
• B13 Helena Ma, ONLINE PITCH – Evolutionary dynamics of combined antibacterial treatment
• B14 Abhishek Mallela, Bayesian Inference with PyBioNetFit of State- Level R0 values for COVID-19 across the US
• B15 Nathan Mankovich, ONLINE PITCH – Pathway Expression Analysis
• B16 Michael May, Using Noise to Differentially Control Single Cells
• B17 Juan Melendez-Alvarez, Emergence of Qualitative States in Synthetic Circuit Driven by Growth Feedback
• B18 Hye-Ran Moon (presented by Bumsoo Han) Cells function as a ternary logic processor to decide their migration direction
• B19 Kevin Murgas, Higher-Order Dynamics in Protein Interaction Networks
• B20 Indrani Nayak, ONLINE PITCH – Modeling CD16 signal kinetics reveals the role of adaptor CD3ζ in NK cell signaling in humans and mice
• B21 Tra Ngo, ONLINE PITCH – Quantitative multiscale imaging and analysis of membrane protein and actin cortex co- organization
• B22 Cesar Nieto, PyEcoLib: a python library for simulating E. coli stochastic size dynamics
• B23 Daniel Ramirez, Velocity inference of single cells from gene regulatory networks

Group C

• C1 (Spotlight) Hossein Jashnsaz, Logarithmic signaling regulate MAPK stress response and survival
• C2 (Spotlight) Timothy Hamilton, Fractal-Like Density in Single Cell Data
• C3 Michael Alexander Ramirez Sierra, Spatial-Stochastic Model of Cell Fate Decisions in Early Mouse Development
• C4 David Ritz, Evolution of antibiotic resistance in chronic Pseudomonas aeruginosa infections
• C5 Eric Ron, Gene expression quantification of anti- and pro- inflammatory genes upon stimulation with Dexamethasone and IL-1β by employing smiFISH
• C6 Bilal Shaikh, BioSimulations: A unified, extensible, repository of models, simulations, and visualizations
• C7 Hye-In Son, Methods for controlling gene expression level of bacterial populations
• C8 Dana Stamo, Multiplexing peptide nucleic acid therapies to destabilize bacterial biofilms in burn wound infections
• C9 Mirjana Stevanovic, Nutrient Gradients Mediate Complex Colony-Level Antibiotic Responses in Structured Microbial Populations
• C10 Wesley Stine, ONLINE PITCH – Kinship Effects in Phenotypic Adaptation to Antibiotics in E. Coli
• C11 Austin Stone, Competitive Incoherent Feed-Forward Control of Winner-Take-All Resource Competition
• C12 Gwanggyu Sun, Cross-evaluation of curated E. coli transcription unit structures against a whole-cell model
• C13 Konstantine Tchourine, ONLINE PITCH – Chaotic Dynamics Can Generate Macroecological Laws in Microbiota
• C14 Xiaojun Tian, Understanding, Predicting, and Control of Circuit-Host Interactions
• C15 Jesus Vega-Lugo, Analysis of conditional colocalization relationships and hierarchies in three-color microscopy images
• C16 Shangying Wang, Predict the Conditional Probability Distributions from Noisy Measurements with Neural Networks
• C17 Yue Wang, ONLINE PITCH – Stochastic Model and Optimization of SELEX
• C18 Darren Wethington, ONLINE PITCH – Mathematical modeling dissects maturation kinetics of natural killer cells in response to mouse cytomegalovirus infection
• C19 Vanessa Wildman, Using ImageJ as a Method to Track and Analyze Population Dynamics of Gentamicin Treated E. Coli at the Single-Cell Scale
• C20 John Wu, Generalized Method of Moments improves parameter estimation in biochemical signaling models of time-stamped single-cell snapshot data
• C21 Mingtao Xia, ONLINE PITCH – PDE Models of Adder Mechanisms in Cellular Proliferation
• C22 Ziang Xu, ONLINE PITCH – Uncovering the dynamic effects of DEX treatment on lung cancer by integrating bioinformatics inference and multiscale modeling
• C23 Antonio Matas Gil