• Lead data scientist for an interdisciplinary physics / art-history collaboration, where machine learning is used to attribute paintings to their respective artists.• Developed the majority of the algorithms implemented in Python to process, sample, and analyze surface topograpy of paintings. CNNs were applied, using Keras and TensorFlow backend. These algorithms correctly attributed patches of paintings to four artists, and increased initial painting attribution by nearly 30%, up to 96%… Show more • Lead data scientist for an interdisciplinary physics / art-history collaboration, where machine learning is used to attribute paintings to their respective artists.• Developed the majority of the algorithms implemented in Python to process, sample, and analyze surface topograpy of paintings. CNNs were applied, using Keras and TensorFlow backend. These algorithms correctly attributed patches of paintings to four artists, and increased initial painting attribution by nearly 30%, up to 96% accuracy. The approach will prove useful in disentagling questions of workshop painting attribution.• Co-first author of the resulting paper, published on Heritage Science. Our team received an award for these efforts from the university. The algorithms were adapted to solve real-life questions, such as differentiating conserved and unconserved regions in paintings by 16th century artist El Greco. Show less

• Led three individual projects and collaborated with two different collaborator groups.• Developed mathematical models to investigate factors that influence insect outbreaks as well as mechanisms that maintain mutualisms. While building upon published studies, these projects critically examine the limitation of previous work and consider more biological complexities to fill the knowledge gaps.• Applied Deep Learning algorithms to examine the ecological processes that shape community… Show more • Led three individual projects and collaborated with two different collaborator groups.• Developed mathematical models to investigate factors that influence insect outbreaks as well as mechanisms that maintain mutualisms. While building upon published studies, these projects critically examine the limitation of previous work and consider more biological complexities to fill the knowledge gaps.• Applied Deep Learning algorithms to examine the ecological processes that shape community patterns.• Contributed to projects using nonlinear Leslie-type matrix models to examine mechanisms that influence spatial and temporal dynamics of periodical cicada broods. Show less

3.5 years of experience with teaching and coordinating with lecturers. Responsibilities include conducting lectures and recitation sessions, debugging MATLAB code, troubleshooting questions, and grading.

• Coordinated a team of 6 graduate students to train incoming graduate teaching assistants and undergraduate teaching assistants on university policies and resources. During training, we provided best practices on creating an inclusive classroom, and hosted small group activities to discuss academic integrity. Some of my responsibilities included planning for orientation/seminars, facilitating group discussions, and maintaining the online student portal.• Facilitated the Future Faculty… Show more • Coordinated a team of 6 graduate students to train incoming graduate teaching assistants and undergraduate teaching assistants on university policies and resources. During training, we provided best practices on creating an inclusive classroom, and hosted small group activities to discuss academic integrity. Some of my responsibilities included planning for orientation/seminars, facilitating group discussions, and maintaining the online student portal.• Facilitated the Future Faculty Certification course, where we taught students how to develop a syllabus, write lesson plans, teach lessons both in person and remotely, and build a rapport with students. Show less