Featured Bioinformatics Experts

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.

With a PhD in molecular genetics and as a specialist in data science, Céline Chantry-Darmon has over twenty years of experience in biomedical research and complex data analysis. As Scientific Director at Tekkare, she works on developing trustworthy artificial intelligence for healthcare. She is also committed to promoting inclusive and responsible artificial intelligence, and to advancing women in science and technology.

Dhyey is an AI & computational math researcher at Amherst College. His work sits between statistical learning and mathematical rigor, developing methods and software for robust modeling, efficient computation, and machine-assisted reasoning. He's especially interested in bridging foundations (proofs, geometry, probability) with practical ML systems. Previously he has published novel open-source Python packages amassing 40k+ downloads, and published papers with professors and executives of Fortune 500 companies. He's an active guest author and contributing writer to major industry media publications such as VentureBeat, LeadDev, DZone, etc.

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.

Vinothkumar Kolluru is a Senior Data Scientist at Fractal Analytics with 9+ years of experience in NLP, Machine Learning, and Deep Learning. He builds AI-driven solutions that improve customer experience and decision-making, with a focus on customer segmentation, friction detection, and digital journey optimization for large-scale web platforms. He has delivered end-to-end models across tech, healthcare, and marketing—ranging from NLP-based document summarization and topic categorization to predictive analytics—using transformer architectures (e.g., BERT), sequence models, and classical ML. Vinoth has also led analytics initiatives such as call categorization for healthcare contact centers and relevance modeling to improve campaign targeting and performance. A passionate researcher and contributor to the AI community, Vinoth has 50+ publications and 246 citations (h-index 9). He is recognized with the Dr. Abdul Kalam Young Achiever National Award and holds an MS in Data Science from Stevens Institute of Technology, along with a Gold Medal in Engineering from Anna University. His core toolkit includes Python, SQL, AWS, and Azure, and he enjoys translating complex data into practical, measurable business impact.

Skilled, highly knowledgeable, and analytical professional with over fourteen years experience in the healthcare sector. Primary expertise in providing strategic insights and actionable information to life science companies. Proficient in molecular diagnostics, point of care diagnostics, genomics, immunoassays, oncology diagnostics, cardiology diagnostics, infectious disease diagnostics and personalized medicine. Strong ability in capturing customer insights, performing technical analysis, sizing niche segments, financial modeling, evaluating market dynamics, identify/evaluate new product potential, and presenting high impact, tactical recommendations. Specialties: Extensive knowledge in the genomics, in-vitro diagnostics space. Demonstrated success in managing teams and clients, assessing business models identifying market opportunities/risks and developing strategies to optimize market penetration, competitive advantage and profit.

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

As the Co-Founder of Toolgemini, I lead the development of interactive, data-driven tools designed to uncover the hidden financial and physiological costs of daily substance habits. By leveraging compounding interest models and health risk data, I provide individuals and organizations with actionable insights into wealth preservation and physical well-being. My mission is to use transparent data to empower long-term behavior change and financial literacy."

Results-driven SEO expert with 5+ years of experience, seeking to apply technical SEO knowledge as a Senior SEO expert. Grew up traffic of multiple B2B and B2C projects by ranking highly competitive keywords like 'CBD boxes' from page third to top 5 in Google USA. It includes custom product packaging to travel agencies with a fine link building and content marketing strategy on niche-related sites.

Shesh Narayan Gupta is a Senior Manager in a Financial Services organization and holds a Master’s Degree in Data Science. With a strong foundation in artificial intelligence and years of professional experience in data-driven problem-solving, he brings a unique perspective to intersection of technology, creativity, and storytelling. His expertise spans machine learning, Generative AI, and practical applications of AI in various industries, including finance, marketing, and education. As a seasoned data science leader who is also featured in Times New Square for his contributions in data science, Shesh Narayan has been at the forefront of leveraging AI technologies to drive innovation and efficiency in real-world scenarios. Beyond his corporate career, he has a deep passion for storytelling, mentoring, and game design, which has led him to explore how Generative AI can revolutionize narrative creation, game development, and interactive media.

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.

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.

My name is Sanjeev Kumar, and I’ve been working in web development for several years. What started as a simple curiosity about WordPress quickly grew into a career where I’ve built websites, improved SEO performance, and created online tools that people actually use every day. I enjoy solving problems through technology, whether it’s making a calculator that helps students, or a tool that makes financial tasks a little easier. Recently, I’ve been exploring how AI fits into coding. It has sped up my work in amazing ways, but I’ve also learned that nothing can replace careful human review. I like the balance—using AI to get ideas moving, then adding my own experience to make the final product secure and reliable. More than titles or labels, I see myself as someone who enjoys turning ideas into something real and useful, while sharing what I learn along the way.

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.

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.

SEO expert in Skardu and Islamabad with 2+ years of hands-on experience in on-page, off-page, blogging, and Pinterest SEO, specializing in Cloud & Google Cloud stacking for authority and visibility.

Visionary Technology Leader and Solution Architect with over 18 years of experience in driving digital transformation and building enterprise-grade software. As the Founder and CTO of OSSTF Technologies, I specialize in designing scalable SaaS architectures, cloud-native applications, and AI-driven platforms. My expertise spans the full software development lifecycle, from conceptualizing modular monolithic and microservices architectures to delivering high-performance mobile and web solutions. I have successfully led the development of innovative products like INVPRP (AI Interview Prep) and comprehensive OTT platforms, empowering businesses to achieve operational excellence and growth. Passionate about solving complex technical challenges and leading high-performing engineering teams.

Achal Shah is VP of Strategic Development at Monetrey Mushrooms, a food and biotech company in the agriculture space, and a published contributor to AgFunderNews. With over 10 years of experience at the intersection of food, agriculture, and innovation, Achal has advised leading agribusinesses at McKinsey & Company and served as Global Strategy Lead and Chief of Staff to the CEO at RiceTec, a global seed company operating across the U.S., India, and Brazil. He has led strategies spanning seed genetics, sustainable farming, agri-biotech commercialization, digital transformation, and M&A — and spearheaded a multi-continent initiative to drive hybrid rice adoption that reduced methane emissions, cut water consumption, and improved profitability for smallholder farmers. Achal holds an MBA from the Kellogg School of Management and a Master’s in Design Innovation from Northwestern University. He is available to comment on agribusiness strategy, agricultural biotech, food system innovation, sustainable farming, and emerging trends shaping the global agriculture industry.

Vijayaraghavan N is the Founder and Director of Asynx Private Limited, a growing technology firm specializing in modern web solutions, SaaS products, and custom software development. What began as a passion for coding evolved into a successful full-time freelancing career, where he earned the Top Rated badge on Upwork and built long-term client relationships founded on trust, quality, and reliability. At Asynx, Vijayaraghavan leads a dedicated team driven by a mission to deliver high-quality digital solutions, exceptional client support, and a client-first approach that defines the company’s values. With hands-on experience in developing end-to-end eCommerce platforms, SaaS applications, and enterprise-grade web solutions, he focuses on helping businesses scale efficiently through robust, maintainable software systems. He is currently overseeing the development of internal ERP and CRM systems designed to enhance client experience, while expanding the company’s capabilities and ensuring every project reflects precision, innovation, and care.

Dr. Giovanni Abbadessa is a seasoned oncology developer with over 20 years of experience in advancing innovative therapies across biotech, pharmaceutical, and nonprofit sectors. He joined ModeX Therapeutics as Chief Medical Officer, where he leads the development of the company’s multispecific biologics for cancer and infectious diseases. Prior to ModeX, Dr. Abbadessa was Vice President and Head of Oncology Early Development at Sanofi, where he spearheaded the clinical development of 16 experimental oncology drugs, guiding them from first-in-human studies through to Phase 2 trials. He established a dynamic team of 25 professionals and played a pivotal role in in-licensing 10 clinical assets. Dr. Abbadessa contributed to strategic oversight across multiple portfolios, including Phase 3 assets and partnerships, and collaborated with Investor Relations on oncology-focused initiatives.