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Applied ML AI Data Science | Healthcare
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
UC Irvine
Doctor of Philosophy (Ph.D.), Biomedical/Medical Engineering
N/A – Present
Harvey Mudd College
B.S., Mathematical Biology
N/A – Present
BD
Senior Director, Algorithms Engineering - Applied ML & AI
March 1, 2026 – Present
Irvine, CA
Brightside Health
Director, Data Science
April 1, 2025 – March 1, 2026
Brightside Health
Manager, Data Science
September 1, 2023 – April 1, 2025
Brightside Health
Lead Data Scientist
March 1, 2023 – September 1, 2023
Brightside Health
Sr Data Scientist
June 1, 2021 – March 1, 2023
Edwards Lifesciences
Staff Engineer, Applied ML Group, Critical Care R&D
January 1, 2020 – May 1, 2021
Edwards Lifesciences
Senior Engineer, Applied ML Group, Critical Care R&D
March 1, 2018 – January 1, 2020
Edwards Lifesciences
Engineer II, Algorithms, Critical Care R&D
January 1, 2016 – March 1, 2018
UC Irvine
Data Science Initiative, Assistant Instructor
October 1, 2015 – January 1, 2017
Edwards Lifesciences
Critical Care Algorithms Engineering Intern
March 1, 2014 – January 1, 2016
UC Irvine
PhD Candidate, Biomedical Engineering
September 1, 2013 – November 1, 2019
Department of Anesthesiology and Perioperative Care, UC Irvine Medical Center
Research Assistant
June 1, 2011 – September 1, 2013
Colorado Coalition for the Homeless
Intern/Volunteer
August 1, 2010 – August 1, 2010
Engman Fellowship, Harvey Mudd College Engineering Department, Claremont, CA
Research Student
May 1, 2009 – May 1, 2011
Cultural Fit Analysis
The candidate has a strong background in healthcare and biomedical engineering, which aligns well with roles requiring domain-specific ML/AI applications. Their progression through various roles at Brightside Health and Edwards Lifesciences demonstrates loyalty and growth within organizations. The academic background and research experience suggest a culture of continuous learning and scientific rigor. However, the absence of diverse project types outside of the biomedical/healthcare sector might indicate a narrower scope of experience for broader ML engineering roles, potentially impacting cultural fit for organizations outside this specific domain.
Soft Skills & Operational Fit
The candidate's career progression from Engineer to Senior Director, coupled with roles involving instruction and research, suggests strong leadership, problem-solving, and communication skills. Their experience in clinical research and applied ML indicates an ability to work in complex, regulated environments and translate technical insights into practical solutions. The lack of detailed project descriptions or specific soft skill assessments makes a definitive operational fit assessment challenging, but the trajectory points to a strong operational leader in ML/AI.