Ashrit Satish
Mountain House,CA
Summary
I work at the intersection of biology, data science, and machine learning to turn complex data into biological insight. I am a high school researcher with hands-on experience applying deep learning to biological image data, along with experience presenting research, building applied tools, and collaborating across technical and non-technical teams.
Beyond research, I have pursued academic and extracurricular leadership through competitive STEM projects, publications, and real-world applications of technology. I am excited by Rockefeller University’s strength in basic biological research and hope to contribute computational skills while working closely with wet-lab researchers to translate data-driven results into meaningful biological understanding.
Overview
1
1
year of professional experience
Work History
Reseach Author
IEEE
Las Vegas, Nevada
06.2025 - 12.2025
- Author of “Lightweight Hybrid AI Models for Rice Pest Classification Using Deep Feature Extraction.”
- Accepted for publication at IEEE CCWC 2026
- Used MobileNetV2, DenseNet201, and ConvNeXt architectures with classical ML classifiers (KNN, Random Forest, MLP)
- Performed error analysis using confusion matrices and per-class performance metrics
- Focused on lightweight, efficient models suitable for real-world and field deployment
Congressional App Challenge - Runner-Up (CA-09)
US Government
05.2025 - 12.2025
- App: “Farmer’s Tariff Lens”
- Awarded Runner-Up in the 2025 Congressional App Challenge for California’s 9th District, a highly competitive nationwide STEM competition sponsored by the U.S. House of Representatives.
- Built an app to help farmers understand tariff impacts using interactive tools.
Harvard Undergraduate Research Association (HURA)
Cambridge, MA
Cambridge, MA
10.2025 - 10.2025
- Participated in a two-day innovation conference selected from an internal applicant pool.
- Collaborated on a team-based innovation project focused on AI governance, examining ethical, societal, and policy considerations of artificial intelligence.
- Engaged in structured discussions, problem-solving sessions, and project presentations in an academic research setting.
- Gained experience in interdisciplinary collaboration and research-oriented thinking.
Education
High School - AP Computer Science Principles, Honors Biology, Chemistry
Mountain House High School
Mountain House, CA01-2025
Skills
- Python
- TensorFlow
- Scikit-learn
- Computer Vision
- Transfer Learning
- Model evaluation
- Confusion matrices
- Performance metrics
- Scientific writing
- Experimental documentation
- Interdisciplinary collaboration
Selected Projects
- Agri-Watch Drone-Based Detection System, Built a drone-based imaging pipeline to collect biological images and perform AI inference, Designed for low-resource environments, emphasizing efficiency and real-world constraints
- UC Berkeley ADTP Robotics Course 2025 – VEX Robotics (Completion Certificate) - Completed a Berkeley-level engineering and robotics program through ADTP, using VEXcode to design, program, and simulate autonomous robotics systems. Earned an A grade in the course, demonstrating strong mastery of both engineering principles and autonomous robot programming.
Extra Curriculum
- State Champions Competitive Soccer Club - Nor Cal State Premier Division
- Varsity Soccer Player
- Regional and county-level science fair participant
- STEM outreach and mentorship activities
Research Interests
I am interested in computational and interdisciplinary research at the intersection of biology, data science, and machine learning. In particular, I am excited by Rockefeller University’s strength in basic biological research and would like to contribute to labs using computational approaches to analyze biological data, imaging, or experimental systems. I am also eager to collaborate with wet-lab researchers to translate data-driven insights into real biological understanding.
Timeline
Harvard Undergraduate Research Association (HURA)
Cambridge, MA
10.2025 - 10.2025
Reseach Author
IEEE
06.2025 - 12.2025
Congressional App Challenge - Runner-Up (CA-09)
US Government
05.2025 - 12.2025
High School - AP Computer Science Principles, Honors Biology, Chemistry
Mountain House High School