Investigation of Bismuth Triiodide (BiI$_3$) for Photovoltaic Applications
Published in The Journal of Physical Chemistry Letters, 2015
Early materials search efforts. I helped build the furnace, grow samples, and do characterization for this work.
Posts by Collection
publications
Methylammonium bismuth iodide as a lead-free, stable hybrid organic-inorganic solar absorber
Published in Chemistry - A European Journal, 2015
I worked on characterization for this paper.
Segmentation and Tracking of Marine Cellular Clouds observed by Geostationary Satellites
Published in International Journal of Remote Sensing, 2016
A paper that grew out of my summer research at the Weizmann Institute back in 2011 and used some of the code I wrote back then.
Economically sustainable scaling of photovoltaics to meet climate targets
Published in Energy & Environmental Science, 2016
A really cool collaborative effort to apply our existing technoeconomic models towards climate change goals. I helped collate data and design the analysis.
Perovskite-inspired photovoltaics: Best practices in materials characterization and calculations
Published in Chemistry of Materials, 2017
I participated in the workshop that led to this (GIANT author list!) paper, in particular the XRD part.
Searching for ``Defect-Tolerant’’ Photovoltaic Materials: Combined Theoretical and Experimental Screening
Published in Chemistry of Materials, 2017
This was a big capstone of our early materials search efforts. I worked on the defect calculations and also grew the bismuth iodide samples.
High Tolerance to Iron Contamination in Lead Halide Perovskite Solar Cells
Published in ACS Nano, 2017
I contributed DFT defect calculations to this work, helping to determine the most likely sites and charge states of iron defects in hybrid lead halide perovskites.
Strongly Enhanced Photovoltaic Performance and Defect Physics of Air-Stable Bismuth Oxyiodide (BiOI)
Published in Advanced Materials, 2017
Another joint experimental-computational paper. I ran some DFT defect energy calculations for this work.
Rapid semiconductor device characterization through Bayesian parameter estimation
Published in Joule, 2017
This was our first paper on the Bayesian inference work, led primarily by my former grad student mentor Riley. He designed the study, we both wrote some of the code, and I did most of the data analysis.
Solvent-Engineering Method to Deposit Compact Bismuth-Based Thin Films: Mechanism and Application to Photovoltaics
Published in Chemistry of Materials, 2017
I contributed some DFT calculations to this paper.
A-site cation in inorganic A$_3$Sb$_2$I$_9$ perovskite influences structural dimensionality, exciton binding energy, and solar cell performance
Published in Chemistry of Materials, 2018
This is a primarily experimental paper which was led by my former postdoc mentor, Juan-Pablo Correa-Baena (now a professor at GA Tech!). He was having some interesting problems with phase impurities in the samples he was growing and I performed some DFT calculations to help explain the observations.
Structural and Chemical Features Giving Rise to Defect Tolerance of Binary Semiconductors
Published in Chemistry of Materials, 2018 (lead author)
This was my first lead-author publication! It describes the core of my defect tolerance work that will appear in my PhD thesis.
Bayesim: a tool for adaptive grid model fitting with Bayesian inference
Published in Computer Physics Communications, 2019 (lead author)
Code release paper for Bayesim, my Bayesian inference Python package. For more information, see the website.
Computational frameworks to enable accelerated development of defect-tolerant photovoltaic materials
Published in MIT Libraries, 2019 (lead author)
My PhD thesis! Now available online through MIT DSpace.
How much physics is in a current-voltage curve? Inferring defect properties from photovoltaic device measurements
Published in Journal of Photovoltaics, 2020 (lead author)
Last big chunk of my PhD work, fitting SRH parameters for iron in silicon using Bayesian parameter estimation
Marcus-Hush-Chidsey Kinetics at Electrode-Electrolyte Interfaces
Published in Journal of Chemical Physics, 2020 (lead author)
My first real contribution in electrochemistry! And some fun Julia coding to boot.
A Minimal Information Set To Enable Verifiable Theoretical Battery Research
Published in ACS Energy Letters, 2021
Giant collaboration to try to set some standards for verifiability/reproducibility in theoretical/computational battery research.
AutoMat: Automated materials discovery for electrochemical systems
Published in MRS Bulletin, 2022 (lead author)
I co-lead an invited perspective piece summarizing our ARPA-E DIFFERENTIATE project on electrochemical materials discvoery.
Nonequilibrum Electrochemical Phase Maps: Beyond Butler-Volmer Kinetics
Published in Journal of Physical Chemistry Letters, 2023 (lead author)
(Software for) Building phase stability maps for any electrochemical kinetic model
Using Bayesian parameter estimation to learn more from data without black boxes
Published in Nature Reviews Physics, 2024 (lead author)
An invited Comment piece evangelizing BPE!
teaching
Science and QR Tutor
Tutoring, Yale University, Dean's Office, 2011
I served as a Science and QR (quantitative reasoning) tutor through the Yale Dean’s office. Students who were struggling in their classes could apply for a tutor and I would meet with them one-on-one and help them learn material and work on their homework. I tutored for a variety of classes including calculus and introductory physics.
MIT 3.23
TA, MIT Department of Materials Science and Engineering, 2018
I served as a teaching assistant to the first-year graduate course 3.23: Electronic, Optical, and Magnetic Properties of Materials, taught by Prof. Geoffrey Beach. Responsibilities included writing problem sets and solutions, giving recitation lectures, and holding office hours and exam review sessions.
Graduate Student Teaching Award
Award, MIT School of Engineering, 2019
"The Graduate Teaching Awards are presented to a faculty member or a teaching assistant from each school (Architecture and Planning, Humanities, Arts and Social Sciences, Engineering, Sloan School of Management, Science, and Health Sciences and Technology) for excellence in teaching graduate courses."
Graduate Student Teaching Award
Award, MIT Dept. of Materials Science and Engineering, 2019
Departmental award given to a graduate student TA "for excellence in teaching a graduate subect"
Bayesian Parameter Estimation: Computational Methods
Guest Lectures, CMU Course 24-786: Bayesian Machine Learning, 2020
I gave two guest lectures in Prof. Viswanathan's graduate course in Bayesian methods for machine learning.
Where do Molecular Dynamics Potentials Come From?
Guest Lecture, CMU Course 12-623/24-623: Molecular Simulation of Materials, 2020
Since 2020, I have given a yearly guest lecture in Prof. Wang’s class to elucidate the origin interatomic potentials used in simulation techniques such as molecular dynamics: namely, quantum simulation!
Future Faculty Program
Teaching Preparation, Eberly Center for Teaching Excellence and Educational Innovation, Carnegie Mellon University, 2020
“The Future Faculty Program helps graduate students develop and document their teaching skills in preparation for a faculty career. Participants in this program learn the principles of effective course design and pedagogy through our seminars, receive feedback on their teaching through teaching feedback consultations, and apply what they have learned in completing a course & syllabus design project and a statement of teaching philosophy project.”