Kyle Daniel Miller

Keywords

Autonomous materials design and discovery  |  Surrogate models for atomic simulation  |  Structure-property relationships  |  Multiferroics  |  Metal-insulator transitions  |  Active learning  |  Explainable AI  |  Physics-informed models

Motivation

• I want to create data-driven solutions for materials problems.
• I excel in collaborative, inquisitive environments.
• I prioritize efficient communication and fast failure.

Background

• PhD. in Materials Science and Engineering @ Northwestern University
• B.S. in Physics, Mathematics @ University of Puget Sound
• Summer REU in perovskite synthesis @ University of Minnesota
• Summer REU in molecular dynamics @ Boise State University

Current Work

Research Scientist @ Citrine Informatics, External Research Department
  ⇒ Developing sequential learning workflow for design of durable nuclear waste forms
  ⇒ Managing ongoing projects & writing proposals for multi-institution interdisciplinary government grants

 

Recent Work

Computational materials intern @ Sandia National Laboratories
  ⇒ Building neural network surrogate models for atomistic simulation
  ⇒ Contributing to the Materials Learning Algorithms (MALA) framework
 

NSF Graduate Research Fellow @ Northwestern University, MTD Group
  ⇒ Discovering and tuning ferroelectric materials
  ⇒ Developing design rules for metal-insulator transition materials