Daniel Lopez-Martinez, PhD

Daniel Lopez-Martinez, PhD is an Applied Scientist at Amazon with a strong background in biomedical engineering and artificial intelligence.14 He completed his PhD in Medical Engineering and Medical Physics at the Harvard-MIT Division of Health Sciences and Technology and the MIT Media Lab, under the supervision of Prof Rosalind Picard.1

Education and Academic Background

Dr. Lopez-Martinez's academic journey includes:

• Bachelor's and Master's degrees in Biomedical Engineering from Imperial College London, where he was awarded the Medal for Excellence of the Faculty of Engineering1
• PhD in Medical Engineering and Medical Physics from Harvard-MIT1
• Participation in the Bioscience Enterprise program at the University of Cambridge1

During his undergraduate studies, he gained research experience through various internships:

• Amgen Scholar at the University of Cambridge
• Research internships at the University of Oxford, Massachusetts Institute of Technology, Cancer Research UK Cambridge Institute, and Harvard University1

Research Interests and Expertise

Dr. Lopez-Martinez's research focuses on:

• Digital Signal Processing
• Machine Learning
• Biomaterials
• MEMS and Nanotechnology
• Medical Imaging
• Modeling in Biology
• Image Processing4

His work often involves applying these technologies to healthcare and biomedical problems. For example, he has published research on:

• Pain intensity estimation using autonomic signals and recurrent neural networks2
• Sleep detection using LSTM recurrent neural networks2
• Optimal critical care pain management using deep reinforcement learning2
• Personalized pain recognition from brain signals using machine learning techniques2

Current Role at Amazon

As an Applied Scientist at Amazon, Dr. Lopez-Martinez likely applies his expertise in machine learning and biomedical engineering to solve complex problems and develop innovative solutions for the company.4 His recent work includes research on guardrails for avoiding harmful medical product recommendations and off-label promotion in generative AI models, demonstrating his continued interest in the intersection of AI and healthcare.3

Daniel Lopez-Martinez's LinkedIn username is daniel-lopezmartinez, where more details about his professional experience and accomplishments can be found.4