Expert Biotechnology Market Analysts Consultants

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.

I'm a digital marketer who lives at the intersection of creativity and strategy. For 6+ years, I’ve been crafting campaigns that don’t just grab attention—they deliver results. From SEO that ranks to social media that connects, and ads that convert, I turn ideas into impactful outcomes. I believe in the power of data to tell stories, using tools like Zoho Analytics to uncover insights and optimize strategies that drive measurable growth. What fuels me? Turning complex challenges into seamless marketing solutions. Whether it’s designing integrated campaigns, building brands online, or diving deep into analytics, I thrive on making marketing smarter, faster, and more effective. What I Bring to the Table: Growth-focused strategies * Storytelling that sells Websites that work Insights from data Let’s transform your marketing into a growth engine—one campaign at a time.

Authentic technology recruitment leader with expertise in executive talent acquisition and building high performance recruitment teams, primarily within the tech/digital/creative disciplines.

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.

Influencer | Featured on Times of India | 4x World Record Holder | 10x Microsoft & Azure Certified Expert | ITIL® 4 Specialist Certified | 44x IBM & Design Thinking Certified | SNOW | NOC/IMS/CIS Specialist | Digital & Social Media Marketer | Brand Promoter & Lead Generator

Ganesh Ariyur is a global enterprise technology executive and a Top 100 Digital Adoption Leader for 2025. He is known for delivering more than $500M in measurable enterprise value through large-scale digital transformation, enterprise systems modernization, cloud strategy, artificial intelligence adoption, data governance, & enterprise architecture leadership. His work spans more than 90 countries across Fortune 500 organizations, private-equity owned companies, and highly regulated industries. Ganesh serves as the Global Head of Enterprise Technology Strategy and Transformation at Gainwell Technologies, a $3B healthcare technology organization. He directs modernization programs across SAP S/4HANA, Oracle Cloud ERP, PeopleSoft, cloud platforms on AWS and Azure, enterprise applications, reporting and analytics, generative AI, intelligent automation, enterprise architecture, IT governance, and cybersecurity, aligned with operating models. His programs have delivered multi-million-dollar cost savings. He has directed enterprise portfolios valued at more than $1B. He has unified 450-plus legacy systems, led technology programs supporting more than $30B in M&A value, and guided organizations through complex TSA exits and carve-outs. Ganesh brings deep expertise in artificial intelligence-enabled operating models, multi-ERP modernization including SAP S/4 HANA, Oracle Cloud, & Workday, cloud strategy and FinOps, enterprise architecture, data, infrastructure, cybersecurity improvement, data quality & analytics modernization, robotic process automation & intelligent automation, shared services/global business services, organizational design, and long-term value creation. His people-process-technology approach led to his being named a Global Top 100 Digital Adoption Leader. He is a Certified AI Business Transformation Practitioner & a Certified Technology Innovation Practitioner. He is also a member of the Forbes Technology Council. He was publicly recognized for global transformation leadership when he was featured on billboards across Germany during a major enterprise program at Bayer. Ganesh is known for partnering with boards, CEOs, CFOs, & private equity operating teams. He aligns technology strategy with growth objectives, cost discipline, compliance needs, & long-term enterprise value. Based in Atlanta, he is regarded as a CIO leader who turns complexity into clarity and who consistently converts technology investment into measurable business outcomes.

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.

Founder & CEO of Genbounty - AI safety & compliance testing. Genbounty is a an AI safety testing hub and provider of EU AI Act compliance and certification. About me AppSec SME, AI Engineer, Developer | BSc, MBA, PRINCE2, CompTIA+, CISSP

Drumil Joshi is a nationally recognized leader in AI-driven predictive analytics for renewable energy systems. With a Master of Science in Data Science from Indiana University Bloomington and a portfolio of 12 international research papers, 6 patents, and a published book, Drumil combines academic excellence with real-world operational impact. As the sole Monitoring & Diagnostics Analyst at Southern Power, he manages a $450M portfolio of solar, wind, and battery energy storage assets. He specializes in building end-to-end machine learning pipelines, real-time anomaly detection platforms, and operational stability indices that have enhanced renewable energy reliability and reduced manual analysis time by over 25 hours per week. Drumil’s innovative work—featuring cutting-edge tools like Azure Databricks, SHAP interpretability, and Dash visual analytics—has been nationally recognized by media outlets such as Hindustan Times, DNA India, TechBullion, and Silicon India. His mission is to democratize AI innovation for energy and industrial systems by providing tactical, scalable solutions that companies can implement without needing large teams. With a strong foundation in machine learning, energy analytics, automation, and sustainable AI systems, Drumil offers a unique blend of technical depth, entrepreneurial spirit, and thought leadership that continues to shape the future of smart energy management.

David Selakovic is the CEO and President of Vegalab SA, a Swiss biotech advancing natural solutions for global food systems. Under his leadership, Vegalab develops high-performance biologicals and specialty inputs that help growers boost yield and quality while shrinking chemical footprints and protecting pollinators. The company’s platforms—micronization, nano-encapsulation, and in-vivo cultivation of beneficial microorganisms—are engineered to match the efficacy and usability of synthetics, with sustainability built in from the start. Headquartered in Switzerland with a growing international footprint, Vegalab supports farmers, distributors, and innovators across regions with rapid product development and field-level support, and maintains a commitment to carbon-neutral operations and FSC-certified communications. Selakovic speaks frequently on scaling biologicals, translating lab breakthroughs to farm outcomes, and building resilient, zero-residue value chains.

I am a Risk Management and Cyber Security professional, providing services to public and private sector clients for over 15 years.I graduated from Mount Saint Mary's in 2006 with a Bachelor's Degree in Computer Science.My most worked for award is my rank of Eagle Scout in the Boy Scouts of America, which I received on January 13, 1999.

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.

Previously, served as Sales Finance Analyst at Google and VP Data Science, Financial Crime and Fraud at Monzo (UK’s Venmo Bank), joining as one of the early employees and scaling a 120+ person team. With a background in financial engineering and AI, he specializes in risk-compliant automation for regulated industries.

A PhD graduate of ETH Zurich in Food Microbiology, Dr. Mario Hupfeld became a member of the NEMIS Technologies co-founding team as CSO in 2018. He's lived and worked in Germany, UK, Italy and Switzerland, and developed 7 products from ideation to commercialization since NEMIS Technologies' inception.

With experience as an Executive Research Leader, I have a multifaceted background in…

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.

Sherin Joseph Roy (legal name: Sherin Roy) is Co-Founder and Head of Products at DeepMost AI, an enterprise artificial intelligence company based in Bangalore, India. He specializes in building AI systems focused on contextual intelligence and what he calls "transparent autonomy"—AI that operates independently while maintaining explainability and human collaboration. Sherin's work addresses the "trust gap" in enterprise AI adoption—why 84% of organizations use AI tools but only 33% trust them in production. At DeepMost AI, he leads development of AI agents for enterprise deployment, with a focus on systems that communicate confidence, explain reasoning, and know when to escalate to human judgment. Prior to founding DeepMost, Roy spent years in hardware and embedded systems. He is ranked #2779 globally on Crunchbase among entrepreneurs and founders (top 2%) and holds ORCID identifier 0009-0007-7009-3280. Sherin writes "Notes by Sherin," a newsletter about the reality of building enterprise AI beyond the hype. He is available for insights on enterprise AI adoption, contextual intelligence, product development for AI systems, and the intersection of human judgment and artificial intelligence. Areas of expertise: Enterprise AI, Contextual Intelligence, AI Transparency, Human-AI Collaboration, Product Management, Startup Entrepreneurship, AI Ethics, Enterprise Software Deployment

The sun ☀️ and wind 💨 are free and infinite resources, yet their inherent intermittency creates volatility that costs the sector billions annually, severely complicates market strategies, and poses a constant risk to the electrical grid that powers our world. At Steadysun, we have made resolving this paradox our core mission. We turn this chaotic uncertainty into a measurable, strategic, and competitive advantage. Our approach is built on a radical rejection of simplicity. While most forecasting solutions rely on a limited number of meteorological models, we view this as fundamentally insufficient—akin to piloting an aircraft while looking through only one window. We have engineered an AI brain 🧠, a proprietary and powerful intelligence designed to operate with a full 360-degree vision. This engine is continuously fed by an unparalleled diversity of data in the market. It aggressively aggregates and analyzes information from over twenty specialized meteorological models, ranging from global experts to hyper-local specialists, leveraging the strengths of each. Crucially, we augment this with real-time data from satellites 🛰️ tracking cloud formation, live readings from ground sensors providing on-the-spot conditions, and years of deep historical datasets that serve as our AI’s memory, allowing it to learn from and eliminate past errors. This massive data fusion is our signature: the multi-model approach. It enables us to detect weak signals that others miss, delivering power generation forecasts of exceptional reliability and predictive accuracy. For our clients, this advantage is profound and tangible. It grants power producers the ability to sell their energy at optimal prices 📈 and plan maintenance without sacrificing peak production. It equips traders with the confidence required to manage risk and capitalize on volatile market opportunities. And for grid operators, it provides the indispensable tool needed to anticipate every ramp event and guarantee security of supply for everyone. We are not just selling data. We are selling confidence—the confidence necessary to invest massively in and operate a sustainable, reliable, and profitable energy future. 🚀

I am a seasoned professional with over 10 years of experience in the market research and consulting industry, specializing in business intelligence, market insights, and project intelligence for the energy, power, and construction sectors. As Director & Principal Analyst at Blackridge Research & Consulting, I am driven by a clear vision: to position the company as the trusted leader in business intelligence and the ‘Best-in-Class’ source of project intelligence worldwide. By delivering objective research, actionable insights, and data-driven analysis, I help organizations uncover new opportunities, reduce risk, and make smarter business decisions. Passionate about excellence and innovation, I focus on building strong teams, hiring and mentoring top talent, and fostering a culture of growth. My mission is not only to guide businesses with clarity but also to empower professionals who share the commitment to delivering high-value intelligence to clients across global markets. Always striving to stay ahead of industry trends, I bring a forward-thinking and client-centric approach to help companies anticipate change, achieve sustainable growth, and succeed in competitive landscapes.

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.