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Harrison S. is listed as MS in Machine Learning '24, Former Research Engineer @ BWH/MIT Traverso Lab based in Los Angeles Metropolitan Area, United States. AeroLeads shows a matched LinkedIn profile for Harrison S..
Harrison S. previously worked as Research Engineer (Traverso Lab) at Brigham And Women'S Hospital and Research Engineer, Co-op (Traverso Lab) at Brigham And Women'S Hospital. Harrison S. holds Master Of Science, Electrical And Computer Engineering from Northeastern University.
I recently completed my MS in Electrical and Computer Engineering at Northeastern, specializing in Machine Learning. My journey has taken me through 2.5 years of research at the Traverso Lab at MIT and Harvard Medical School, where I focused on integrating multimodal biosignal trajectories for advancing personalized medicine through continual learning. My exploration extended to hardware acceleration techniques and innovative preprocessing methods in biological systems, emphasizing the revision of continual learning principles to address inefficiencies in existing approaches.Currently seeking entry-level machine learning roles in the San Francisco Bay Area, I am passionate about leveraging multimodal data to uncover interdisciplinary solutions. I thrive on challenging the status quo and reevaluating our assumptions, steadfast in my belief that interdisciplinary research is key to unlocking novel insights and advancements.Let's connect to discuss how we can drive progress together by rethinking and integrating diverse perspectives in machine learning!
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Cambridge, Massachusetts, United States
• Investigated the integration of multimodal biosignal trajectories to enhance personalized medicine through continual learning• Explored hardware acceleration techniques, focusing on innovative methods for data preprocessing in biological systems• Revisited the principles of continual learning in search of nonstandard methods for addressing inefficiencies
Cambridge, Massachusetts, United States
Boston, Massachusetts, United States
• Explored the use of reinforcement learning for autonomous 5G network slicing
Boston, Massachusetts, United States
• Selected by ECE faculty as one of two ECE Career Peers• Delivered tailored feedback to first-time job seekers during personalized Career Peer office hours• Orchestrated technical interviews in a classroom setting• Represented the College of Engineering through participation in career panels and admissions Q&A sessions• Proactively sought out industry partnerships to enhance Northeastern's professional network
Marlborough, Massachusetts, United States
• Collaborated with international cross-functional team members to facilitate the global launch of capital equipment• Produced comprehensive test protocols and reports to meet stringent FDA and NMPA regulations • Pioneered an innovation project that examined both marketing factors and engineering feasibility• Mentored and guided the Fall 2021 cohort of Co-ops
Peabody, Massachusetts, United States
• Designed test fixtures to ensure the safety and reliability of critical components• Ensured the seamless operation of the product by conducting rigorous electromagnetic compatibility testing• Prototyped sensor array boards that help better inform the operator of the patient's condition• Streamlined testing procedures through the development of automated VHDL testbenches
Arvin Grabel Memorial Scholar, Dean's Scholar Concentration: Computer Vision, Machine Learning, and Algorithms
Activities and Societies: College of Engineering Mentor, IEEE, Society of Asian Scientists and Engineers, Data ClubMajors: Electrical.
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Harrison S. is listed as MS in Machine Learning '24, Former Research Engineer @ BWH/MIT Traverso Lab.
Harrison S. is based in Los Angeles Metropolitan Area, United States.
Harrison S. has worked for Brigham And Women'S Hospital, Northeastern University, Hologic, Inc., and Analogic.
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Harrison S. holds Master Of Science, Electrical And Computer Engineering from Northeastern University.
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