2021 Annual Meeting

Session: Applications of Data Science to High Throughput Experimentation

Chair

Elizabeth Nance, UNIVERSITY OF WASHINGTON

Co-Chair

Johannes Hachmann, University at Buffalo, SUNY

Presentations

12:30 PM

(108a) Virtual High-Throughput Screening of Vapor-Deposited Amphiphilic Polymers for Biofilm Reduction with Machine/Deep Learning
Zhihao Feng, Yifan Cheng, Andrew L. Hook, Rong Yang, Jeffrey D. Varner

12:45 PM

(108b) High-Throughput and Data-Driven Strategies for the Design of Deep Eutectic Solvent Electrolytes.
Jaime Rodriguez, Maria Politi, Lilo Pozzo

01:15 PM

(108d) AI-Guided Autonomous Flow Reactor Platform for Accelerated Nanomaterial Synthesis Screening and Parameter Space Mapping
Ajit Vikram, Arwa Zahid, Paul Kenis

01:30 PM

(108e) Machine Learning Models for Rapid Compositional Quantification of Complex Multicomponent Mixtures Using Vibrational Spectroscopy
Andrea Angulo Figueira, Lankun Yang, Eray Aydil, Miguel Modestino

01:45 PM

(108f) Are Structure-Function Relationships Governing Polymeric Gene Delivery Payload-Specific?
Ramya Kumar, Ngoc Le, Mary Brown, Theresa M. Reineke

02:00 PM

(108g) Enhancing Insight to Individual and Population-Based Microglial Reactivity with Image Analysis
Hawley Helmbrecht, Elizabeth Nance

02:15 PM

(108h) High-Affinity Non-Immunoglobin Scaffolds Promoted By Sequence Mining Impactful in High-Value Therapeutics
Mehrsa Mardikoraem, Joelle Eaves, Daniel Woldring