Designing Desmos-based curriculum with emphasis on how students interact and experience digital artifacts.

Migrated existing software into a new system. I interfaced, tested, and refined new database models to existing and new web pages over the site and played an active role in design planning and decision making. Much thanks to John Kelly who actively mentored me and the other interns (Saar Sayfan, Emily Cang, Robert Slutsky).

Data Science Challenge hosted by LLNL. Worked under Brenden Petersen for Deep Symbolic Regression, which generates an equation, given an input set of data. Added data visualization and regularization to a reinforcement learning model to simplify generated expressions.

By repurposing low-cost hardware purchased during the pandemic, we can create spaces for students to learn and demonstrate learning through group-based movement. Students hold AruCo markers which are detected by a system of webcams to project their position in the room onto a graph, and "become" points on a graph. This leads into easily into any kind of mathematical activity--polygon transformations, function shifts, drawing a line between two students, etc. This project is overseen by Dr. Earl Aguilera, Dr. Lynette Guzman, and Dr. Alexandria Hansen. Work in Progress presentations at CSCL 2022 and IDC 2022.

Using qualitative, interpretive analysis to walk through teaching simulation software, simSchool to provide critical perspectives on technology in teaching and learning. We shared analysis in a roundtable at AERA 2022 and in an upcoming edited volume by Phil Nichols and Antero Garcia.

Recreating Papert's Turtle at low cost to provide students with an tangle, interactive solution for teaching computer science, computational thinking, and mathematics. Worked with Daniel Milliate on CAD and mechanical engineering. Project is overseen by Ahmed Arif through UC Merced's HCI Group and is held in the CalTeach Learning Lab

Worked on creating transcripts of user studies for qualitative analysis, using ELAN. Created an automated Python script to create annotations when participants are speaking.

Final project for EDUC 130 (Knowing and Learning in Mathematics and Science). Interaction analysis of students coding through a Python simulation of the RC Cola Problem. Defined different styles of coding and discussed the limitations and affordances of each in terms of mathematical discussion and understanding.

Mentored under Carlos Garcia-Alvarado, Jorge Orbay, and Xin Zhang from Autonomic to build an application of data streaming through Kafka and decision trees through Weka. The app takes in live data, determines if a car has crashed or near-crashed, and displays the result, with a 89.01% accuracy over all instances in the dataset.

To promote drone safety, the MESA lab is building a classifier of good versus bad pilots through their remote control signals logs. Once known, the quadcopter would take any appropriate action (emergency land, switch to auto-pilot, etc.). Explored various simulation softwares to train neural networks and onboarded new students to learn introductory robotics.