Ahmed Morsi
@ahmedmorsi
Data-driven researcher specializing in machine learning and biochemistry.
United StatesWhat I'm looking for
I am a dedicated researcher with a strong foundation in molecular biology and data science, having graduated from the University of California, Berkeley. My academic journey has been complemented by hands-on experience in machine learning applications, particularly in the biomedical field. I have successfully developed innovative solutions, such as a multi-modal dataset for pain state biomarkers, achieving high accuracy with advanced machine learning techniques.
In my role as a Technical Research Assistant at Brigham & Women’s Hospital, I engineered a comprehensive ML video analysis pipeline that enhances preclinical testing of pain therapeutics. My passion for research is matched by my commitment to continuous learning and improvement, as demonstrated by my contributions to various projects, including reinforcement learning simulations and microscopy analysis optimizations.
Experience
Work history, roles, and key accomplishments
Technical Research Assistant
Brigham & Women’s Hospital / Harvard Medical School
Jul 2023 - Present (1 year 10 months)
Developed an end-to-end ML video analysis pipeline for preclinical testing of pain therapeutics. Engineered tools to profile molecular cargo in pain-sensing neurons, revealing protein trafficking mechanisms.
Pain ML Project Lead
Brigham & Women’s Hospital / Harvard Medical School
Feb 2024 - Present (1 year 3 months)
Created a multi-modal dataset from mouse behavior videos and applied ML techniques to extract pain state biomarkers. Achieved high accuracy in identifying pain behaviors using advanced classifiers.
Associate Consultant
Trinity Life Sciences
Aug 2022 - May 2023 (9 months)
Engaged in projects with life science and pharmaceutical companies, focusing on forecasting, survey design, and lifecycle management. Delivered strategic market intelligence and facilitated client prioritization of clinical development platforms.
Machine Learning Intern
Liyfe Clinic
Feb 2021 - May 2021 (3 months)
Engineered predictive analytics solution using a chatbot to collect symptom information and forecast symptom progression. Constructed a neo4j knowledge graph to associate current symptoms with root causes, generating user value.
Undergraduate Research Assistant
University of California, San Francisco
Jul 2021 - May 2022 (10 months)
Investigated neural mechanisms behind addiction and learning using Pavlovian conditioning tasks. Optimized microscopy analysis pipeline through performance benchmarking.
Co-founder
AptSafe
Aug 2020 - May 2022 (1 year 9 months)
Co-founded AptSafe to assist apartment hunters by creating a P2P network for sharing housing experiences. Developed an interactive heat map of crime using GIS and GeoPandas.
Education
Degrees, certifications, and relevant coursework
UBUniversity of California, Berkeley
Bachelor of Arts, Molecular and Cell Biology
2018 - 2022
Grade: 3.54
Studied Molecular and Cell Biology with a focus on Biochemistry and Molecular Biology, complemented by a minor in Data Science. Achieved a GPA of 3.54.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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