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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Bike Power and Hills

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Nerding out about bikes…likely not for the last time.

Beer and Quarantine

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Alcohol-motivated web scraping.

Don’t finish that!

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More philosophizing! This time about time management.

Holiday project: CV revamp!

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Revamping my CV with some cool Python and LaTeX code.

Impostor syndrome and mental models

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Cross-pollination of ideas about STEM pedagogy and minority representation.

Why Hello There…

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Hi there! I thought I’d start using the blog feature to share my thoughts and/or cool little side projects I take on for fun. This post is really just a placeholder commemorating the fact that I figured out how to turn the blog option back on for the site template. Look forward to some actual content hitting this space soon!

Robert C. Byrd Honors Scholarship

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Merit-based college scholarship award.

Intel STS Semifinalist

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Research-based science competition for high school seniors, now known as the Regeneron Science Talent Search. I received semifinalist status for my work at the University of Rochester Laboratory for Laser Energetics in the summer of 2008

Mellon Grant

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Competitive grant that partially funded my undergraduate senior thesis research.

REMRSEC REU Technical Achievement Award

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For the work that "best exhibits outstanding science." I received it for my project on Raman Spectroscopy of Silicon Quantum Dots.

Gates Cambridge Scholarship

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Fully-funded scholarship to the University of Cambridge, established by the Bill & Melinda Gates Foundation and awarded to students with "outstanding intellectual ability, leadership potential, and a commitment to improving the lives of others."

Howard L. Schultz Prize

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Awarded to an undergraduate demonstrating "excellence, inventiveness, and good taste in experimental physics."

GRFP Honorable Mention

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Favorably reviewed application for the NSF Graduate Research Fellowship Program.

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Total Energy Fellowship

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Provides full stipend, tuition award, and computing resources for one year of graduate research support.

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MFI Postdoctoral Fellowship

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"The MFI Postdoctoral Fellowship Program seeks candidates that will support the vision of MFI by demonstrating leadership in advanced manufacturing technologies, artificial intelligence, integrated design and entrepreneurship, the science of learning, technology policy, and addressing challenges that cross multiple disciplines."

Rising Star in Computational and Data Sciences

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I was honored to be selected to participate in this workshop, which unfortunately had to go virtual due to the pandemic, but was still a great experience!

MolSSI Software Fellowship

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"Prestigious fellowships that recognize advanced graduate students and postdocs pursuing the development of software infrastructure, middleware, and frameworks that will benefit the broader field of computational molecular sciences"

Raman Spectroscopy of Silicon Quntum Dots

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Poster session at the end of my REU from the summer after junior year. I won one of the poster prizes!

Raman Spectroscopy of Silicon Quntum Dots

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Presenting my REU work again at NCUWP.

Toward Algorithmic Screening of Novel, Defect-Tolerant Solar Materials

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Early stage of my PhD work, presented at the Hands-On Photovoltaic Experience Workshop, held at the National Renewable Energy Laboratory each summer.

Solar Energy Technology & Innovation in Mexico

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Publicizing the conference I helped to organize

Toward Algorithmic Screening of Novel, Defect-Tolerant Solar Materials

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Re-presenting the HOPE poster for MIT's annual Materials Day symposium.

Improving the Accuracy of Novel Materials Screening: Growing Defect-Tolerant Photovoltaic Absorbers

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2015 MRS poster, back when I still did experiments Click title to download PDF.

Statistical Inference of Materials Properties from Solar Cell Measurements

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First time presenting the Bayesian inference work!

Bayes-Sun Inference: Next-Generation Photovoltaics through Advanced Probabilistic Modeling

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Punny title, won a prize!

Photovoltaics R&D: Thin Film Materials

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Representing my lab (MIT Photovoltaics Research Laboratory) at the annual Energy Night poster session.

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Structural and Chemical Features Contributing to Defect Tolerance of Binary Semiconductors

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The presentation for the end of my Blue Waters fellowship year.

Semiconductor Parameter Extraction via Current-Voltage Characterization and Bayesian Inference Methods

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Presenting early results on iron defects in silicon as well as some previous Bayesian stuff. Click title to download PDF.

Structural and Chemical Features Contributing to Defect Tolerance of Binary Semiconductors

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Invited talk at the GRS.

Semiconductor Parameter Extraction via Current-Voltage Characterization and Bayesian Inference Methods

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Materials Day 2018 - won a poster prize!

Semiconductor Parameter Extraction via Current-Voltage Characterization and Bayesian Inference Methods

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Center for Computational Engineering symposium - also won a prize!

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High-fidelity Accelerated Design of High-performance Electrochemical Systems

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Gather.town is as good a substitute platform to real-life for poster sessions as I've seen!

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.

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)

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.

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Conference Organizer

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I served as the treasurer of the organizing committee for the 2012 NCUWP, held at Yale.

SPS Co-President

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I organized lectures (by both students and guests) and social events in the undergraduate physics community.

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I helped to run a solar energy advocacy group on campus and taught "Solar 202," a workshop about the science of solar energy.

Science Demonstrator

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Demonstrating hands-on science experiments for kids.

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I organized lectures, field trips, and social events around the themes of solar energy and the electricity grid.

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I returned to NCUWP as a graduate student to serve on a panel at the 2015 confeence!

Conference Organizer

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I helped to organize a workshop in Mexico City about opportunities for solar energy in Mexico in light of the 2014 energy reforms there.

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I represent graduate student voices on this task force that aims to shape the future of energy education at MIT.

Solar Test Bed Steering Committee

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I represent graduate student researchers on the committee helping to shape the MIT Solar Test Bed, a Campus Living Lab initiative.

Graduate Student Mentor, Solar Spring Break

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I helped coordinate, mentor, and participate alongside a group of undergraduates who traveled to the Los Angeles area to work with Grid Alternatives installing solar panels on houses in low-income communities.

Co-President, Women of Materials Science

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I organize discussions, socials, and other events to foster a community among graduate women in materials science at MIT.

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I'm part of a group that meets directly with the Dean of the School of Engineering to keep him in touch with the graduate student experience. In particular, I serve on the subcommittee for improving advisor-advisee relations.

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Toward Quantitative Metrics to Screen for Defect Tolerance in Novel Semiconducting Materials

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My first oral presentation at a conference! I spoke about my DFT work on defect tolerance. Click title to download PDF (I make no guarantee that animations will look nice).

Structural and Chemical Features Contributing to Defect Tolerance of Binary Semiconductors

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Oral presentation at the Blue Waters symposium at the conclusion of my fellowship year. Click title to watch video!

Computational Screening for Defect-Tolerant Semiconductors

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Invited talk about my defect tolerance work at the Gordon Research Seminar Click title to download PDF (I make no guarantee that animations will look nice).

Semiconductor Parameter Extraction (and more!) with Bayesian Inference

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I spoke about bayesim and some applications to the MIT SIAM group.

Bayesim Workshop

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I was invited to give a workshop on my Bayesian parameter estimation package, bayesim.

Accelerating Energy Materials Discovery with Computation

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Invited departmental seminar at UIUC where I discussed both my PhD and postdoctoral work.

Accelerating Energy Materials Discovery with Computation

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Prof. Christoph Brabec kindly invited me to give a seminar for the Institute of Materials for Electronics and Energy Technology.

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Marcus-Hush-Chidsey Kinetics at Solid Surfaces

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Presented results from our recent JCP paper as part of a series on interfacial electrochemical kinetics hosted by Aashutosh Mistry.

Graph Convolutional Networks for Atomic Structures

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Brief tutorial on graph convolution and introduction of ChemistryFeaturization.jl and AtomicGraphNets.jl.

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.

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."

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.

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.”

Where do Molecular Dynamics Potentials Come From?

Guest Lecture, CMU Course 12-623/24-623: Molecular Simulation of Materials, 2020

I gave a guest lecture in Prof. Wang’s class on to elucidate the origin interatomic potentials used in simulation techniques such as molecular dynamics: namely, quantum simulation!