Recognized Biomedical Research Leaders 2025

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Dr. James Utley is a pioneering scientist at the forefront of cellular therapy, AI, and data science. A Johns Hopkins-educated Immunohematology expert and Certified Advanced Biotherapies Professional (CABP), he also holds advanced certifications in data science and machine learning. While serving as Technical Director at a major healthcare organization, Dr. Utley oversaw more than 150,000 successful cellular transfusions and spearheaded advancements that significantly improved patient outcomes. This experience included leading initiatives for the Department of Defense, where he revolutionized cellular transfusion practices. His innovative approach is further exemplified by his FDA-approved work and numerous publications in leading scientific journals. Dr. Utley is also known for his bold, hands-on approach to research, embodying the spirit of a "biohacker" by pushing the boundaries of CRISPR and genetic engineering through self-experimentation. This unique blend of rigorous scientific training and unconventional methods has earned him the moniker "the pirate" within the biohacker community.

As a Mechanical Engineer and Business Analyst, I thrive at the intersection of engineering innovation and strategic problem-solving. With experience in business development, market analysis, and process optimisation, I’ve delivered impactful results—whether driving market expansion or improving processes in manufacturing. Passionate about leveraging technology and data to fuel growth, I’m always looking for the next challenge—optimizing operations, exploring new markets, or designing innovative solutions.

I am a Bioinformatician with extensive experience of analyzing Genomics and Transcriptomics data from Next Generation Sequencing Platforms. I enjoy designing, implementing and automating computational pipelines for Biological Data Analysis using multiple programming languages. I also possess over three years of experience working in wet lab with several Molecular Biology tools. I have worked as teaching assistant for both undergrads and grad students.I enjoy solving problems independently as well as by being part of a collaborative inter-disciplinary team.

I am an MD-PhD physician-scientist with a passion for translating complex clinical and scientific data into clear, accurate content. My training and experience span clinical practice and translational research, with expertise across oncology, immunology, gastroenterology, inflammation & metabolism, and rare diseases. With over 10 years of experience, I have supported key deliverables including more than 30 peer-reviewed publications, manuscripts, slide decks, literature reviews, and scientific narratives. I enjoy working in collaborative, deadline-driven environments and am particularly interested in medical writing, medical information, and publication development, where scientific accuracy and effective storytelling intersect.

Dr. Jagdish Khubchandani is a Professor of Public Health at New Mexico State University (NMSU), known for his extensive research and expertise in global health and social epidemiology

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.

Biomedical scientist, technical writer, and program leader with 15+ years of experience. Founder and principal consultant of BioRipplet Endeavors LLC. Specializes in translating complex biomedical and animal health research into clear, actionable strategies and regulatory, grant, and educational documents. Advanced innovation pipelines, expanded commercial portfolios, produced peer-reviewed publications, multiple grant awards, and coordinated multi-disciplinary teams to deliver high-quality science on schedule and within budget.

Dr. Paul Durham is distinguished professor of biology and director of Missouri State University's Center for Biomedical and Life Sciences, a multidisciplinary laboratory that utilizes cellular/molecular, microbiological, biochemical and chemical techniques. A primary goal of his research is to determine the signaling pathways by which inflammatory and anti-inflammatory agents control neuropeptide gene expression in disorders involving the trigeminal nerve. Currently, he is studying the regulation of protein expression in cultured nerve and glial cells, human cell lines, in vivo animal models and clinical studies. A major focus of his research has been to elucidate the cellular/molecular mechanisms by which novel drugs and nutraceuticals modulate the excitability state of neurons and glial cells under pathological conditions in models of migraine, TMJ disorder and epilepsy. More recently, his laboratory has been investigating epigenetic mechanisms and changes in gut microbiota in response to changes in diet, sleep pattern, stress and chronic inflammation. Durham is frequently invited as a guest lecturer. He has authored or co-authored 80 peer-reviewed research publications, numerous book chapters and technical reports, and 160 published abstracts. He has received nearly $14 million in external grants to support his research. In addition, Durham has served on numerous National Institutes of Health (NIH) study sections and advisory boards, and is currently a reviewer for 15 different journals.

I’m an entrepreneur working at the intersection of AI, product execution, and healthcare access. Over the last decade I’ve built and led teams that turn new technology into practical tools for real businesses. I co-founded BotsCrew in 2016, grew it into a global AI services company, and later joined the CourtAvenue collective, where we help large enterprises adopt generative AI with speed and precision. I also founded AllClinicalTrials.com and Curify, two platforms focused on making it easier for patients to find and enroll in legitimate clinical trials. That work started from a personal experience trying to find treatment options for a family member, and it pushed me toward building products that remove friction from complex systems. My background is in applied mathematics and AI, but most of my learning came from building things fast, talking to customers, and fixing what didn’t work. I’m especially interested in how generative AI will reshape operations, customer experience, and decision-making in large organizations. I try to share what I learn - both the wins and the mistakes - so others can move faster.

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.

Specialties: Community mental health, minority women's sexual health disparities research, and STI and HIV prevention research.

(Dr.) Nik Taylor's research focusses on (1) human-animal relationships including links between violence to animals and to humans and (2) the neoliberalisation of higher education/universities. Nik is co-director of the New Zealand Centre for Human-Animal Studies at the University of Canterbury, where she also teaches topics on human-animal violence links; scholar-advocacy; social change, and crime and deviance, particularly domestic violence and animal abuse. Nik’s latest books include Queer Entanglements (Cambridge University Press, with Damien Riggs, Heather Fraser and Shoshana Rosenberg) and Rescuing Me, Rescuing You: Companion Animals and Domestic Violence (Palgrave, 2019, with Heather Fraser).

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.

By applying the latest science and global data, and a goal as the global leader, Atlas Alchemy creates products with a greater potential for healing. We have dramatic experiences & documentations of the power of phyto-cannabinoids, including: 1)an incurable cancer metastasized from blood, to lung, stomach, and neck, all removed after the patient was sent to hospice; and live to 99 years of age. and, 2) 20 years of type II diabetes no longer charted as needing further treatments as their body was now managing properly, 3) acne controlled, and more. Current data shows us exactly why this type of treatment is usually a random and poor gamble, and why so many products fail to deliver; as not all CBD is made the same! Atlas Alchemy is leading the way for quantified healing today, it can be done with today's crops, before distribution even, increasing their value as we continue to target healing. Atlas Alchemy is a medical herbal industry company, incorporating this latest technology and research, allowing us to qualify and quantify products in situ. We are setting the world standard for cannabis and herbal healing.

My primary research interest is in data-driven decision making under uncertainty for retail, supply chain, transportation, logistics, and service operations applications. The methodologies employed in my research range from data analytics and statistical machine learning to data-driven optimization. My Erdös Number is 3 since Aug 2020.

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.

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