Daniel Merchan — CEO
I lead an elite team of research scientists developing cutting-edge AI and optimization solutions for Amazon's global last-mile delivery network. Our innovations in machine learning and mathematical optimization help power one of the world's largest logistics operations, enabling faster, more efficient, and sustainable delivery experiences for millions of customers worldwide.
Stackforce AI infers this person is a Logistics and Supply Chain Management expert with a focus on AI and optimization.
Location: Washington, District of Columbia, United States
Experience: 17 yrs
Career Highlights
- Led AI innovations for Amazon's logistics operations.
- Expert in machine learning and optimization solutions.
- Experienced in last-mile delivery network enhancements.
Work Experience
Amazon
Principal Scientist (2 yrs)
Senior Research Scientist & Manager, Last Mile Science (3 yrs)
Senior Research Scientist, Last Mile Science (1 yr 2 mos)
Research Scientist, Last Mile Science (1 yr 4 mos)
Massachusetts Institute of Technology
Lecturer, GCLOG, MIT Center for Transportation and Logistics (7 yrs 8 mos)
Research Affiliate, MIT Center for Transportation and Logistics (9 mos)
Ph.D. Candidate (4 yrs 10 mos)
Universidad San Francisco de Quito
Lecturer, USFQ Business School (4 yrs 8 mos)
Co-Director, Industrial Engineering Program (7 mos)
Assistant Professor (4 yrs)
Texas A&M Engineering Experiment Station (TEES)
Research Assistant (6 mos)
Grünenthal Group
Quality Control Analyst (2 mos)
Education
Doctor of Philosophy (Ph.D.) at Massachusetts Institute of Technology
Master of Science (MS) at Massachusetts Institute of Technology
Master of Science (M.S.) at Texas A&M University
Bachelor's degree at Universidad San Francisco de Quito
Visiting Student at Virginia Tech
