Special projects for HRT AI Labs.

1 of 2 students elected by the faculty of the Computer Science department to participate in curricular discussions and help shape course offerings and policies.

• mEMbrain - Under the mentorship of Dr. Yaron Meirovitch, I am working on a platform called mEMbrain, an intuitive tool which provides out-of-the-box machine learning pipelines for connectomics that neuroscientists can use without background knowledge on such machine learning algorithms. The tool also interfaces with VAST, the Lichtman Lab’s electron microscopy imaging visualization software. Our end goal is to make mEMbrain available to neurobiologists and labs around the world.• Developed deep learning algorithms to predict possible skeletonizations of 3D binary segmentation data using state-of-the-art U-Net neural network architecture• Created segmentations and seeding data to analyze the distribution of nuclei across muscle fibers in electron microscopy images

After taking the course in Spring 2020, I am serving as a Teaching Fellow, assisting both Harvard College and Harvard Extension School students. I am the first-ever high school student to teach CS20 at Harvard. My duties include grading assignments and exams, assisting in class meetings, holding a weekly office hours section, and answering student questions throughout the course.Student Feedback:"Holy cow, can Harvard just get this kid a faculty position already? Excellent, articulate clear explanations of concepts, always. I know for a fact that I wasn't the only student who actively sought out Emma for help.""Emma cuts right to the heart of a topic or problem. She is laser–focused and unbelievably bright, but doesn't make things unnecessarily complex.""Emma is really good at asking insightful questions. Rather than explain something directly, she would ask me how I approached a problem, and when I made a mistake she would challenge me with a question to give me something to think about, or how I might be going down the wrong path.""She was very precise in her explanations. She did an amazing job for a high school student!""Emma was a great help in the small–group problem–solving sessions. She was extremely clear and thorough in her explanations on how to solve the problem towards the end."

Founding committee member of Solv[ED], MIT Solve’s newest initiative to equip young people with the knowledge, tools, and resources to solve problems in their community and worldwide with social entrepreneurship. I worked with the Solve team to design the Solv[ED] program around my experiences as a young entrepreneur. As a committee member, I shape our initiative's programming, particularly the Solv[ED] Youth Innovation Challenges.

I founded the Wolfram Middle School Summer Camp for girls. The goal of the Middle School Summer Camp is to provide girls with the confidence, knowledge, and skills to explore computer science and apply computational thinking to the fields they are interested in, and to serve as a pipeline program to the Wolfram High School Summer Camp.The inaugural Middle School Summer Camp was held in June 2021 in an entirely virtual format. I worked with the Wolfram Education Initiatives team to design the program, develop curriculum, and recruit students and staff.

Mentored high school students in computational projects ranging from machine learning, astrophysics, general relativity, biomedical sciences, mathematics, and Latin using the Wolfram language.

• Designing a Synthetic Neural Network Layer for Image Classification - A novel approach to emulate the structure and function of receptive fields in the retina of the human eye by using linear algebra, image processing, and biomimetic computational models to create a set of fixed artificial receptive fields for computer vision neural networks. The synthetic neural network layer that uses these fixed weights improves upon both the accuracy and the training time of the network. This project won Top 300 Scholar at the Regeneron Science Talent Search (STS) 2021. • Lung Cancer Detection – A machine learning algorithm to identify cancerous lung nodules in CT scans with 97% accuracy. • Natural Language Processing Framework for SolveBio – SolveBio is a biotech start-up that provides genomics intelligence platform to drive precision medicine development. Collaborated with SolveBio’s team to enhance and expand a natural language processing framework using the Wolfram Mathematica Language to allow users to query SolveBio’s database of genetic data by asking English-like questions. • White House’s Opportunity Project – Represented Wolfram Research at White House’s Opportunity Project – my project leveraged the power of the Wolfram Language to help community leaders identify and match areas of need with activity programs for school-aged children, based on the location of summer meal sites and metro stops.

Timeless is a first of its kind, caregiver assisted mobile app that empowers Alzheimer’s and dementia patients to stay engaged with friends and family. I raised US$120K through prizes, donations, and Indiegogo Crowdfunding Campaign for developing Timeless. The app was launched globally in Dec 2019. As of August 2021, there are thousands of downloads worldwide. Timeless is now also available in English, Simplified and Traditional Chinese, and Spanish.

Received full-time offer for 2025

Invited to a highly selective program to learn about opportunities in Quantitative Research, Quantitative Trading, and Software Engineering at Citadel and Citadel Securities

Highly selective program to introduce first-year undergraduates to Jane Street’s trading and technology models through classes and team-based mock trading simulation games.First place winner of the Jane Street Electronic Trading Challenge: built bots in Python to trade and make markets for bonds, securities, ETFs, and ADRs against other teams in a simulated financial market using arbitrage and "pennying" strategies in an 8-hour competition.

One of thirty undergraduate freshmen selected to participate in a virtual three-week program to learn about the finance industry, investing, and global economies. We will also be learning from Bridgewater’s investment professionals through mentored projects on investment strategies, project management, research, and writing.

One of nine undergraduates and only freshman selected to participate in a four-week program to introduce women to technical challenges in the quantitative finance space. I learned from developers and traders at Hudson River Trading and working on projects for both the trading software and algorithmic trading teams.

Selected by Arm as 1 of 4 global ambassadors to encourage tech companies to build solutions for Gen ZKeynote panelist at Mobile World Congress in Barcelona ‘19

1 of 30 scholars selected worldwide to participate in a global online program that provides students with extraordinary mathematical talent with courses designed by world-renowned scientists on theoretical physics, genetics, evolutionary biology, computation, and more.

Selected as one of 20 students to participate in a rigorous independent research mentored by Rockefeller University researchers. Due to the pandemic, the program was run virtually. I participated in the Cultivating Wild Yeast track, where we cultured wild yeast samples with culture inputs from home and completed a final project on using image processing to compare the concentration of yeast cultures with photos taken on a phone camera and Wolfram Mathematica

As a volunteer under the mentorship of Dr. Avi Ma’ayan., I built a novel dynamic platform called GADDNET that serves as a powerful pathway for connecting researchers and institutions to research opportunities that help to advance drug discovery, especially in lesser-explored genes. GADDNET visualizes genes, researchers, diseases, and predicted genes in a network to reveal the connections to inform new research directions and collaborations. This project won Best in Fair Award at the NY State Science and Engineering Fair and Regeneron ISEF Finalist (highest honor awarded in 2020).