phd students
Gbenga Fabusola
research interests: leveraging machine learning and mathematical models to improve gas sensors
about: I have a soft spot for fitness and good music. Good food will be preferable with the music too.
Paul Morris
research interests: developing mathematical models and machine learning algorithms to improve and curate nanoporous materials for gas sensor arrays.
about: When not on campus, you’ll find me playing competitive racquetball on the OSU team, cruising around on a loud motorcycle, painting, and getting lost in the woods. I like to think my home away from home is alongside the elk and rain in the Olympic National Forest.
Qia Ke
research interests: using machine learning, decision-making algorithms, and molecular simulations to efficiently search for porous materials with optimal adsorption properties.
about: I enjoy traveling, savoring different cuisines, and watching TV shows.
ugrad students
Kyrstin Datanagan
research interests: training machine learning models to predict optical properties of Ag nanoparticles sculpted by DNA
about: In my free time, I enjoy reading my bible, working out, taking care of my guinea pigs, playing Magic the Gathering, as well as playing Warhammer.
Charles Harriman
research interests: thermodynamic modeling and optimization to design MOF-based water harvesters tailored to geographic regions
about: My hobbies include soccer and hiking.
alums
phd
Árni Sturluson. PhD, Chemical Engineering
- thesis: “Novel approaches to porous material discovery”
- now: deCODE Genetics
- Google Scholar
Nick Gantzler. PhD, Physics.
- thesis: “In Silico Screening of Nanoporous Materials for Gas Sensing and Separation”
- now: postdoc at Sandia National Labs
- Google Scholar
Adrian Henle. PhD, Chemical Engineering
- thesis: “Graph-Based Algorithms and Machine Learning Approaches for Molecular Property Prediction and Material Design”
- Google Scholar
ms
- Ping Yang. MS, Chemical Engineering.
- thesis: “Classifying the Toxicity of Pesticides to Honey Bees via Support Vector Machines with Random Walk Graph Kernels”.
- now: PhD student, UMass Amherst
- Kai Geringer. MS, Chemical Engineering. (primary advisor = Matt Campbell)
- thesis: “A Graph Grammar Representation of Metal-Organic Frameworks for Computational Synthesis and Exploration”
- now: Jacobs Engineering
- Diba Behnoudfar. MS, AI.
- now: PhD student, Mechanical Engineering, Oregon State University.
ugrads
Mira Khare. Chemical Engineering.
- now: PhD student, University of California, Berkeley
Arthur Henry York. Computer Science
- now: PhD student, University of California, Irvine
Jonathan Carney. Physics (co-advised by David Roundy)
- now: PhD student, University of North Carolina at Chapel Hill
Samuel Hough. Chemical Engineering
Rachel Sousa. Mathematics
- now: PhD student, University of California, Irvine
Grant McConachie. Bioengineering
- now: PhD student, Boston University
Carson Silsby. Chemical Engineering
- now: PhD student, University of Idaho
Caleb Laird. Chemical Engineering
- now: Environmental Engineer at CDM Smith
Jack Draney. Chemical Engineering
- now: PhD student, Princeton University
Melanie Huynh. Biological Engineering
- now: PhD student, University of California, Berkeley
Faaiq Waqar. Electrical Engineering and Computer Science
- now: Hardware Engineer, Microsoft
Nikolas Christian Achatz. Computer Science (minor in Mathematics)
- now: Software Engineer, Nike. and MS student, Oregon State University.
Tristan Gavin. Computer Science (minor in Mathematics)
- now: Software Engineer, SpaceX
Daniel Casey-Hain
- now: PhD student in Chemical Engineering at UIUC
Clayton Amerman
Sebastian Vaughan
visiting PhD students
- Gabriel Augusto. Visiting PhD student (1 year) from Federal University of São Paulo.