Most Recommended Biomedical Engineering Experts

I am an award winning highly quantitative Product Development Engineer who specializes in transforming raw silicon characterization data into predictable, high-yield products ready for mass production, with direct experience on cutting-edge 3nm and 2nm processes crucial for next-generation AI and ML hardware. My expertise is rooted in applying Statistical Design of Experiments (DOE) and advanced methodologies like Six Sigma directly to post-silicon issues. I leverage deep data analysis to quickly pinpoint and eliminate root causes of complex parametric and functional failures within System-on-Chip (SoC) architectures. Notably, I personally conceptualized and implemented the entire Yield Management System for ARM, a multi-billion dollar entity, delivering a mission-critical infrastructure solution at virtually zero dollar cost. This rigorous, data-driven approach is key to achieving robust product quality and accelerating the time-to-market for every new silicon generation. I was also as named a Thinkers360 Top 25 Global Thought Leader and Influencer in the "Engineering" category and a Top 50 Global Thought Leader and Influencer in the "Future of Work" category for 2025.

I am Brian Tham, an Applied Artificial Intelligence undergraduate at Singapore Institute of Technology with a strong academic record and practical experience in AI research and development. My work focuses on advancing AI applications, particularly in the areas of model protection, computer vision, and machine learning. You may view my portfolio/website at https://tham.ai As a Research Student at Singapore Institute of Technology, I've contributed to significant work on AI model protection, specifically focusing on defending deep neural networks against model extraction attacks. My research encompasses model watermarking, adversarial robustness, and advanced defense mechanisms, with practical applications in medical imaging through UNet model implementation for brain MRI segmentation. My technical portfolio includes notable projects such as FoodVision, a real-time deep learning food detection system utilizing YOLOv8 technology, and a Speech Emotion Recognition system based on Wav2Vec2. I've also conducted comprehensive analyses of emerging technologies, including a detailed study of ransomware impacts across various industries and an evaluation of AI chatbot capabilities. Previously, I enhanced medical education at Lee Kong Chian School of Medicine, where my e-learning courseware development contributed to a 20% improvement in student test scores. My professional experience extends to the Ministry of Defence of Singapore, where I specialized in data processing automation and visualization using PowerBI and Excel. I hold multiple prestigious certifications, including Google Professional Machine Learning Engineer, Google Business Intelligence, and AI4I® – Proficiency in AI from AI Singapore. My technical expertise spans Python, machine learning frameworks (TensorFlow, PyTorch), and data analysis tools, complemented by a deep understanding of quantum computing, large language models, and autonomous vehicle technologies. This combination of academic excellence, practical research experience, and technical expertise positions me at the forefront of AI innovation and its real-world applications.

I’m a lifesciences compliance strategist with a passion for building real-world, right-sized programs in fast-moving environments. With deep experience in pharma and medtech, I specialize in translating regulatory complexity into practical, actionable frameworks. I’ve spent 7+ years navigating the gray areas of compliance—from training physicians on industry expectations to building startup programs from the ground up. I believe compliance should be ethical, functional, and human-centered—and that culture is built through clarity, storytelling, and respect, not fear. Outside of policy and audits, I speak regularly on startup compliance and love turning “boring” topics into memorable moments. I'm here to connect, create, and contribute.

Dr. Pouyan Golshani is an interventional radiologist and entrepreneur working at the crossroads of healthcare, technology, and finance. He founded GigHz, a physician-led consulting and capital advisory platform, and Guide.MD, an AI-driven directory built to help doctors fix and control their online identity without the usual headache. After nearly two decades in medicine and years of hands-on investing, he’s become a go-to voice for clinicians, founders, and investors who want clear, practical explanations of med-tech innovation, AI in healthcare, real-asset investing, and tax-efficient strategy. His commentary blends clinical judgment with a grounded business lens, making complex topics easy to understand without oversimplifying them. He routinely advises early-stage teams, physicians, and capital allocators on licensing, due diligence, and deal structure—always with an emphasis on transparency, education, and long-term value over hype. His goal is straightforward: help smart people make better decisions in a system that’s only getting more complicated.

I am a Structural Engineer with a Master’s degree in Structural Engineering from the UK and a Bachelor's in Civil Engineering from Nepal. My foundation lies in structural analysis, design, and computational modeling, with experience in designing reinforced concrete and steel structures, as well as conducting finite element analysis (FEA). I am well-versed in international design standards such as Eurocodes and British Standards, and I have a keen interest in solving complex engineering challenges. Beyond my engineering background, I have pivoted into the tech space with the creation of TDEECalculator.me, a web app focused on health and fitness. This project blends my analytical skills with my passion for digital solutions, as I leverage data analysis, web development, and user-centered design to provide an accessible tool for individuals looking to understand their Total Daily Energy Expenditure (TDEE). With a versatile skill set bridging traditional engineering principles and innovative technology, I am driven by a passion for continuous learning and problem-solving. I enjoy exploring new ways to apply my expertise to diverse challenges and industries, and I am eager to collaborate on projects that have a positive impact on both engineering and technology.

Hrishikesh Tawade is a robotics and computer-vision engineer at the Toyota Research Institute, where he works on adopting and scaling AI-driven robotics research across Toyota’s global manufacturing ecosystem. His work focuses on bringing advanced perception, safety, and multi-robot intelligence into production environments. Previously, he led multi-robot coordination and battery-swap automation at Ample Inc., cutting swap times from 15 to 5 minutes and improving fleet reliability across deployments in the U.S., Japan, and Europe. He also strengthened perception pipelines and product readiness at a LiDAR-focused company during its transition from private to public markets. Earlier in his career, he built cost-efficient factory automation systems in India, solving constraints around sensor reliability, hardware robustness, and deployment speed. He frequently mentors early-stage founders on robotic product strategy, prototyping, and scale-up.

As a software engineer at Featured, I focus on utilizing LLMs and other techniques to ensure Featured runs as smoothly as possible. I use novel applications of LLMs and other generative AIs to automate routine business operations.

Dr. Akshaya Srikanth Bhagavathula is an Associate Professor of Epidemiology at North Dakota State University, internationally recognized for his pioneering work at the intersection of digital epidemiology, pharmacovigilance, and artificial intelligence. His research harnesses advanced statistical modeling and AI to track and predict health behaviors, medication safety, and disease patterns in real time—bridging traditional epidemiology with next-generation digital health analytics. Dr. Bhagavathula has published more than 250 peer-reviewed articles in leading journals, including Annals of Epidemiology, JAMA Network Open, and Lancet Digital Health. His work has been widely cited and featured in major media outlets such as The New York Times, where he discussed the real-world safety of GLP-1 receptor agonists like semaglutide (Ozempic, Wegovy, Mounjaro). Recognized among the Stanford–Elsevier Top 2% of Scientists (2019–2024) and elected as a Fellow of the American College of Epidemiology, Dr. Bhagavathula is known for translating complex data into actionable insights that shape public health policy and clinical practice. His ongoing projects include NIH- and NSF-aligned initiatives on AI-powered overdose forecasting, digital twins for public health, and real-world drug safety surveillance using explainable machine learning. With a decade of experience spanning more than two dozen countries and collaborations with organizations such as WHO, USAID, and UNICEF, Dr. Bhagavathula brings a global, data-driven, and human-centered approach to solving modern health crises.

Experienced in evaluating and designing sports performance diagnostics devices. Designed and developed app-enabled grip strength dynamometer: https://www.dexdia.com/gx

Experienced Delivery Manager with a proven track record in managing and delivering custom software development projects. Skilled in coordinating cross-functional teams, optimizing workflows, and ensuring project milestones are met within budget and timelines.With over 15 years of experience, I have successfully led projects in diverse industries, focusing on creating tailored solutions that meet client needs and drive business value. My expertise includes stakeholder communication, resource planning, and risk management, all backed by a strong technical foundation.I thrive in dynamic environments, where I can apply my leadership skills to foster collaboration, enhance team performance, and deliver exceptional results. Currently exploring opportunities to contribute my skills to impactful projects in technology-driven sectors.

Cynthia Udoka Duru has led innovative projects across various sectors, from driving cloud-native system design, automated CI/CD workflows, and infrastructure lifecycle management to architecting solutions, contributing to digital health, finance & maritime cybersecurity, enabling exponential growth, improving infrastructure efficiency, and supporting award-winning innovation across Africa and Europe.

Brian is the Chief AI Officer at Health-Vision.AI, LLC, where he leads responsible AI implementation and develops ethical AI, security, and governance frameworks for healthcare and life sciences organizations in the US and EU. He is also the founder of Envision-Health.AI and creator of HealthRoundsAI, a platform that helps future clinicians use AI ethically and communicate more effectively with patients. With decades of public- and private-sector experience in health tech, AI strategy, data governance, and digital innovation, Brian is a recognized thought leader on AI ethics, AI governance, and the societal impacts of AI in healthcare. He also serves as an adjunct instructor in social sciences and AI ethics and has published in JMIR, Public Health Reports, and the Journal of Community Health.

In my role, I meticulously oversee various clinical projects, ensuring each phase is executed with precision and in compliance with GCP standards. Core Competencies: Clinical Trials Monitoring Clinical Safety Protocols Streamlined Clinical Operations Regulatory Compliance Mastery Educational Background: MSc in Molecular Science and Nanotechnology, Louisiana Tech University MSc in Medical Genetics, MGM University of Health Sciences With a robust educational foundation and a keen eye for detail, I have successfully navigated through different therapeutic areas and regions, delivering high-quality results consistently. My journey in the realm of clinical research is driven by an insatiable curiosity and a deep-seated commitment to advancing science and practice. Let’s Connect! If you are passionate about transforming health care and improving patient lives, or if you wish to exchange insights and collaborate on projects, feel free to connect with me. Together, let’s contribute to a healthier, more understanding world for individuals navigating through challenges.

Dr. Enad is a board-certified orthopedic surgeon specializing in sports medicine, trauma, and joint replacement. He has authored multiple publications and is regularly cited in the media for his clinical knowledge. He also has clinical interest in exercise physiology and obesity medicine.

Solving complex healthcare problems with innovative applications and simple solutions for…

Kishore Bitra is a veteran in the IT industry with over 15 years of experience, specializing in end-user technologies, Cloud Infrastructure, Data Center operations, and Enterprise Security. Currently, he serves a crucial role in local government in the United States. A proven leader, Kishore has successfully spearheaded major IT transformations, including complex infrastructure migration projects, ransomware recovery efforts, and system integrations during corporate mergers and acquisitions. Beyond his professional work, he is passionate about demystifying advanced security and AI adoption, making them practical for organizations from local governments to SMBs. He regularly shares real-world insights through writing, speaking, and volunteering on crucial topics like data protection, cyber resilience, and secure finance operations.

I'm a software engineer and founder specializing in high-impact mobile and backend systems, with experience across AI, edtech, fintech, and digital health. I’ve built products used by hundreds of thousands of users, focusing on reliability, privacy, and thoughtful user experience. I co-founded Slai, one of the first AI-powered language learning apps to use large language models in production. We reached over 10,000 users, earned industry recognition, and were selected by leading European innovation programs. At Holland & Barrett, I helped rebuild and scale their health-tech app for at-home blood testing and personalized wellness, implementing secure architecture, biometric authentication, and integrations that enabled advanced health service. Beyond product work, I write for tech publications, speak with media about engineering, and serve as a judge for global startup and cybersecurity awards. I'm interested in how technology can improve human life, from rethinking language learning with AI to reshaping our relationship with digital health.