Fun fact: I'm a fan of One Piece manga!
Hello! I'm an M.S. student in Data Science at Howard University, advised by Dr. Amy Yeboah Quarkume in the Core Futures Lab. My work explores human-AI co-creation, visualization, multimodal AI, and human-computer interaction for creativity and decision support.
I completed my undergraduate degree summa cum laude with a B.S. in Computer Science and a minor in Mathematics at Howard University as a Karsh STEM Scholar.
I've had the opportunity to work with Dr. Amy Yeboah Quarkume, Dr. Anietie Andy, Dr. Timothy Myers, and Dr. Rajni Goel at Howard University; Dr. Paul Liang at the MIT Media Lab Multisensory Intelligence Group; Dr. James Landay and Parker Ruth at Stanford University; and Dr. Daniel Ritchie and Aditya Ganeshan at Brown University.
I have also interned and worked with teams at Google [x2] and The Walt Disney Company. See my CV for more.
Research Experience
I'm interested in human-AI co-creation and allowing individuals to use Gen AI for AI explainability, creativity, visualization, education, and safety.
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Developing an AI-powered recommendation system for postpartum support that identifies maternal health signals and recommends appropriate care resources using a structured recommendation framework.
AI latency reduction for multimodal systems in real-time photo editing applications for enhanced user experience.
Built a personalized multimodal AI prototype for home-based speech therapy.
Simulated economic effects of algorithmic bias on marginalized communities to study long-term financial and social outcomes.
Derived closed-form summations for average squared distance exponents in polynomial encodings of lattice paths.
Wearables for human health; improved model reliability and revealed a 35% accuracy gap between lab and real-world tonometer data.
Analyzed anxiety-related Reddit posts with LLM-derived features to detect shifts in self-reported mental-health statuses.
Audited geographic representation in indoor-scene datasets using VLMs; 1st place at ExploreCSR Research Symposium.
Experience
I have experience in software engineering, AI strategy, and HCI research across industry teams.
Applying AI-driven decision science to support product and strategy decisions.
Context recommendations for photo experiences.
Built internal tests and RPC validations to improve reliability of data-usage alerts and backend analyses.
- MIT Media Lab (2025)
- Stanford University (2024)
- Brown University (2023)
Leadership
I build and lead initiatives that connect students with industry, secure funding, and grow technology communities through partnerships, sponsorship outreach, and student-led programs.
Leading student research initiatives on Public Interest Technology, guiding interdisciplinary projects on AI safety, algorithmic bias, and governance challenges in emerging AI systems.
Founded Howard University's first coding hackathon and grew it into a nationally recognized event. Led a 30-member team; 250+ students; 32+ corporate partners; $160K+ raised.
Secured record funding and corporate partnerships. Launched Uber-sponsored International Student Pick-Up, $7K ELEVATE Book Scholarship, Apply-a-Thon workshops.
Built a data-driven pipeline for companies to collect student info at scale and for students to mass-apply to corporate opportunities.
Led "Best Practices for Fundraising" for undergraduates nationwide on pitching, sponsorships, and scaling student-led initiatives.
Companies I've partnered with
Interested in partnering? Feel free to email me. I'm always open to collaborations on strategy, research, and student impact initiatives.
- TA, CSCI 470 Fundamentals of Algorithms (Fall 2024)
- TA, CSCI 100 Intro to CS [Google in Residence] (Fall 2024)
- TA and Mentor, Public Interest Tech Summer School (2025) with Dr. Amy Yeboah Quarkume, mentored 6 undergraduates
- Volunteer Teaching, Columbia Heights Educational Campus (Jan to May 2025): College Prep seminar for high school students
- Volunteer SAT Tutor, National Society of Black Engineers (Fall 2022 to Fall 2024)
- Member, CEA Decanal Search Committee (Aug 2024 to Jun 2025)
News
- Jan 2026Joined Disney as an AI Decision Scientist Graduate Associate.
- Sep 2025Began research on a postpartum AI support system.
- Aug 2025Joined Google as a Software Engineer Intern (Pixel Photos).
- Aug 2025Started the Applied Data Science Master's program at Howard University.
- Jun 2025Joined MIT Media Lab as a Student Researcher Intern under Dr. Paul Liang in the Multisensory Intelligence Group.