Best Quantum Computing Experts

Academic-turned-patent-attorney specializing in quantum computing with a unique blend of technical expertise and legal acumen. I bring over a decade of experience in quantum science, with a foundation as a theoretical physicist focused on applications of quantum computers. As a former co-founder and Director of Intellectual Property at Zapata AI, I helped shape innovative IP strategies to protect groundbreaking advancements in quantum and AI technology. Bridging the gap between complex technical developments and intellectual property law, I am passionate about guiding companies through the intricacies of IP protection in emerging fields.

Healthcare director and quantum computing expert. Founder of Quantum Horizon Italia, Italy's leading portal on quantum computing, AI and cybersecurity. Author and researcher with 30+ years of experience in the Italian National Health Service

I build infrastructure for emerging technology transitions—and have been doing it for 20 years. Many know me for my work in digital health, where I spent two decades helping the industry understand how technology shapes behavior and decision-making. That work taught me something: every major platform shift creates new vulnerabilities and opportunities, and the companies that thrive are the ones who see them early. Today I'm focused on the agentic era—where AI systems operate autonomously and require fundamentally new approaches to security, commerce, and trust. WHAT I'VE SHIPPED Co-author of the #1 bestselling book ePatient 2015: 15 Surprising Trends Changing Healthcare (featured in Bloomberg, Forbes, and other publications). Co-founder of the FemAging Project, a global initiative driving women's health innovation. Creator of Femalytics, an AI-powered intelligence platform. Author of two FemAging Index studies, including one sponsored by AARP. Founder of Enspektos, LLC (est. 2005), which has evolved through Web 2.0, mobile, and ML eras—always at the intersection of emerging tech and real-world application. WHAT I'M BUILDING NOW AI Security Guard (aisecurityguard.io) is a multi-faceted platform for securing autonomous AI, combining protection APIs, product tooling, education, and original research on the agentic future.

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.

17 year old high school junior focused on AI safety, cybersecurity, and digital trust, with research centered on detecting geospatial deepfakes and other manipulated media. Presented research at MIT at the IEEE Undergraduate Research Technology Conference and showcased work at the Esri International User Conference. Founder of DeepTrust.us and builder of FakeCheck, a multimodal deepfake detector that helps organizations verify suspicious audio, video, and images quickly, then document decisions with clear Authentic or Manipulated verdicts and audit ready logs. Author of Tech Demystified: Cybersecurity: Core Principles of Modern Cyber Defense, written to make core security concepts practical and accessible for non specialists and students.

Abhijit Choudhary is a seasoned data scientist and AI practitioner with more than 15 years of experience spanning enterprise analytics, machine learning, natural language processing, intelligent automation, and Generative AI across the United States, Singapore, and India. His career has evolved through successive technology waves, from information management and digital transformation to modern AI systems. He holds dual master's degrees from Georgia Tech (M.S. Analytics) and IIT Guwahati (M.S. Mathematics & Computing) and is an IEEE Senior Member. Abhijit has led and contributed to enterprise AI initiatives across financial services, technology, and large-scale business operations, with expertise in Generative AI, large language models, intelligent document processing, information retrieval, AI governance, and the practical challenges of deploying trusted AI systems in production environments. He has presented technical research at Princeton University and NJIT and has been recognized through multiple international industry awards, including the AI Excellence Awards, Stevie Awards, and Globee Awards. Topics available for commentary include Generative AI, enterprise AI adoption, machine learning, natural language processing, AI governance, responsible AI, intelligent automation, and the future impact of AI on business and society. Comments, interviews, and expert opinions are provided in an independent professional capacity and reflect my personal views and experience. They do not represent the views, positions, or policies of my current employer. Additional background, media coverage, presentations, and speaking engagements are available at: https://abhijit-seasoned-ai-data-scientist.netlify.app/

Jeffrey Mathew is a digital strategist and Lead IT Specialist at Teckgeekz, where he drives technical content strategy alongside hands-on implementation of SEO, web development, and AI-based automation systems. His work focuses on building scalable digital frameworks that combine technical SEO, performance marketing, and modern development practices. At Teckgeekz, he leads the development of research-driven content while actively working on real-world projects, including programmatic SEO deployments, high-performance website architectures, and data-driven growth strategies for businesses in competitive markets. His approach bridges technical depth with execution, ensuring that strategies are not only well-informed but also practically implemented. Jeffrey specializes in simplifying complex concepts across SEO, artificial intelligence, and web technologies, translating them into actionable systems that drive measurable results. His work emphasizes real-world applications, performance optimization, and scalable digital growth. As an active contributor to the tech and marketing ecosystem, he provides expert insights on search engine optimization, AI integration, and performance marketing—grounded in hands-on experience and continuous experimentation with evolving technologies.

Pranav Saji is an AI Security and Generative AI expert based in the San Francisco Bay Area, currently Head of AI Security at Symosis Security and a Machine Learning Consultant at LinkedIn. He has delivered over $50M in business impact across Fortune 100 enterprises and startups, founded or led AI at 5+ companies, and built production AI systems spanning security analytics, agentic workflows, and large language model applications. A recognized voice on AI agent and MCP security, he publishes thought leadership in outlets such as HackerNoon and advises enterprises on securing generative AI and agentic systems. He is an accepted trainer at OWASP Global AppSec USA 2026 and a Core Judge for the USAII Global AI Hackathon. He holds a Master's in Computer Science (AI specialization) and CompTIA Security+ and Azure AI Engineer certifications.

Tatiana Teppoeva, PhD is a former Microsoft AI scientist and U.S. patent holder helping HR leaders understand what their AI video screening tools miss about candidates. After 17 years at Microsoft and Boeing - including work that led to a U.S. patent in predictive AI cited by 32 other patents - she founded One Nonverbal Ecosystem, a consulting practice at the intersection of AI systems expertise and nonverbal intelligence. She holds a Master's in Data Science from Harvard University and a PhD in Economics. Her work addresses a specific and growing problem: AI video screening tools score vocal pace, eye contact, and speech patterns against a training baseline that systematically misreads neurodivergent candidates, non-native speakers, and top internal performers. As legal exposure around AI hiring discrimination accelerates - Mobley v. Workday, Kistler v. Eightfold, ACLU/EEOC charges against HireVue - HR teams need someone who understands both sides of the problem. Tatiana has built these systems from the inside, understands nonverbal human signals at expert level, and has navigated AI screening herself as a non-native speaker. That combination is rare. She is available to comment on AI hiring bias, AI video screening discrimination, neurodivergent candidates and AI tools, EEOC enforcement trends, and the arms race between AI screening and AI interview coaching tools. Featured in TIME, Business Insider, The AI Journal, and U.S. Chamber of Commerce. tatianateppoeva.com/ai-hiring-guide

Jim Rembach is an Enterprise Systems Architect, Executive Director of the Leadership Execution Institute (LEI), and Founder of Execution Architects. He is a leading media source on post-AI corporate strategy, organizational design, and why enterprise strategies stall. His work centers on a liberating truth: when execution fails, it is not a deficit of human willpower, intelligence, or intent but a failure of the legacy operating system. Grounded in applied systems physics, Rembach isolates the cognitive limits of leadership under extreme market velocity. Author of the FONE framework (Fear, Overconfidence, Negative Impressions, Execution Blindness), he identifies the human response mechanisms triggering "Execution Drift." He explains why traditional leadership training fails, noting that asking leaders to navigate machine-scale velocity using only human memory leads to chronic cognitive saturation and operational heroics. To fix this, Rembach replaces behavioral policing with Operational Systems Design. He builds the structural scaffolding necessary to secure the Kinetic Chain of Execution. His Leadership Execution-as-a-Service (LEaaS) model embeds Alignment Levers and the AXIS Engine directly into daily operations, making strategic alignment the path of least resistance. As AI reshapes decision-making, Rembach provides the architecture for Culture-Calibrated AI. Using his 14-Dimension Framework and the C.A.L.M. protocol (Clarify, Assess, Limit the Noise, Move with Confidence), he ensures AI operates as a supportive lever to reduce administrative load, rather than scaling systemic inconsistency. His clinical frameworks are published via Zenodo (DOIs: 10.5281/zenodo.19897431, 10.5281/zenodo.17425566, 10.5281/zenodo.17394116) and linked to ORCID (0009-0004-6525-5634). Honed in the ultimate micro-logistics simulator (the high-volume contact center), his methodology is proven at scale. He also hosts Fast Leader Podcast for over a decade, building a global brain trust of experts and academics. Media regularly tap Rembach to discuss: • The Drift Tax and the Double-Investment cycle of execution failure. • Operational Heroics and the biological limits of human capacity. • Structuring post-AI corporate alignment and Culture-Calibrated AI. • The shift from strategic intention to physical infrastructure. Operational Systems Design, Strategic Execution, Kinetic Chain of Execution, Execution Drift, Systems Physics, Alignment Levers, Operations Consulting.

Ian Bann is an AI-driven SEO strategist focused on diagnosing how authority and visibility break inside AI-generated search results. His work examines AI search visibility, attribution behaviour, and why strong websites lose visibility despite strong traditional SEO signals. He studies how AI systems interpret, summarise, and reuse website content, and why certain sources are selected while others are ignored. Ian focuses on AI search visibility, entity clarity, and the structural signals that influence attribution and trust in generative search environments. He shares practical observations, analysis and what ai tools to use to tract how AI systems surface information and what changes improve visibility inside AI-generated answers. Edit

Ivan Patriki is a premier fintech entrepreneur, quantitative trading advocate, and digital marketing expert widely recognized as the co-founder of QuantMap and the CEO of Amora Media Group. Professionally known across digital platforms as Artizt, Patriki commands a cross-platform audience of over 350,000 followers where he actively reshapes the retail investment industry by challenging predatory marketing and providing institutional-grade data analytics. As a respected thought leader, media commentator, and industry educator, his insights frequently appear in top-tier financial publications including Investing.com, Benzinga, and FXStreet. He leverages deep expertise in audience development, digital media strategy, and financial commentary to dismantle the "finfluencer" epidemic, move retail traders away from gut feelings toward data-driven quantitative models, and teach creators the mechanics behind generating hundreds of millions of views while maintaining absolute transparency. - www.ivanpatriki.com

Rebecca Koniahgari is a Technical Lead at Uptrend Motion and the founder of BRYGE AI, an AI-powered ADHD Assistant for Neurotypicals. With over a decade of experience building software systems across agency and product environments, she works at the intersection of software engineering, AI adoption, and human-centered technology. Her work focuses on how emerging AI tools are reshaping developer workflows, team collaboration, and professional identity in technical environments. As both a hands-on engineer and AI builder, she brings practical insight into how developers and organizations are adapting to rapid technological change. Rebecca has received multiple Stevie Awards for her work in technology innovation, and her perspectives on AI and workplace communication have been featured in Fast Company. Available for interviews on AI adoption, developer workflows, and human–AI collaboration in technical teams.

Dr. Philip D. Mann is an aviation safety and AI governance specialist who spent seventeen years inside the Federal Aviation Administration before founding Vector Strategic Consulting LLC. He rose from field technician to business analyst to instructor and training program manager at the FAA Academy, the agency's training center for the workforce that keeps the National Airspace System running. That path lets him speak about outages, controller staffing, and stalled modernization programs from inside the operation rather than from a press release. His commentary centers on three areas: aviation safety and National Airspace System infrastructure; the governance of artificial intelligence in critical systems where failure carries physical consequences; and the organizational risk, leadership, and human factors that decide whether a safety program holds under pressure. A single argument runs through the work: institutions tend to govern by disaster, writing rules only after the wreckage forces the issue, when they could govern by design and move accountability upstream of the failure. He is the author of The SCAR Framework: A Systematic Approach to AI Decision-Making in Critical Systems, a structured method for deciding when to trust automated systems where a wrong call can cost lives, built on four dimensions: Safety, Complexity, Accountability, and Resilience. His analysis has reached more than 35 million people worldwide across outlets including the Associated Press, USA Today, New Scientist, NewsNation, LiveNOW from Fox, LBC Radio in London, and Deutsche Welle. He works comfortably in print, on camera, and on live radio, holding a technical point in plain language for a general audience or speaking at full depth with a trade or policy reporter. Dr. Mann holds a PhD in Organization and Management, an MBA, an MPA, and a BS in Business Management, with PMP and PMI-RMP certifications. He responds quickly to deadlines and supports every claim with primary sources: FAA orders, NTSB findings, court records, and agency rulemakings.

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.

Brea Watts is an AI-driven Strategic Communications Expert and founder of B.Spoke Strategies, with more than a decade of experience shaping executive narratives for tech companies and universities in Silicon Valley and Washington, DC. She has elevated thought leadership for top industry figures—including advancing the former Intel CEO’s influence through strategic communications, social media, and global product launches that reached audiences of 10M+. Brea’s work amplifies expert voices and executive leadership on AI, technology innovation, public health, and higher education, with thought leadership placements in major media outlets such as CNN, Forbes and NPR. Now based in DC, she partners with leaders to expand visibility, drive authentic engagement, and protect brand reputation in the digital age. Known for creating bespoke communications strategies rooted in authenticity and impact, Brea is available for commSentary, interviews, and insights on executive messaging, tech innovation, and AI’s role in reputation management.

Monica is the Founder and CEO of Monic AI Systems, where she helps small and mid-sized businesses become visible inside AI platforms like ChatGPT, Claude, Perplexity, and Google AI. With over 20 years of experience across companies including BP, ExxonMobil, and NTT Data, she has led large-scale digital transformation and data initiatives that have driven more than $300M in measurable business impact. Today, she focuses on what she calls “AI Visibility” — helping businesses get recommended by AI instead of lost in traditional search results. Her work combines content strategy, entity positioning, and AI-driven marketing systems to help companies attract customers in a world where “AI does not rank, it selects.” She is frequently sought after for commentary on how AI is changing marketing, search behavior, and customer acquisition.

Dr. Connie McIntosh is a cybersecurity executive, academic, mentor and international speaker. She currently serves as Head of Security at Ericsson. Dr. McIntosh integrates cybersecurity, information security, product security, operational security, and data privacy into business strategy, fostering psychological safety and cultural transformation in traditionally siloed environments. Her background is in National Security and Cyber Defense working in in key Cybersecurity Leadership roles across Defense and Government classified networks, Academia and private enterprise. Her leadership has earned her accolades such as being named among the Top 100 Women in Cybersecurity by US Cyber Defense Magazine and the Black Unicorn Award at Black Hat 2020. In 2025, she was awarded the prestigious Global Recognition Award for Leadership Excellence in cybersecurity underscoring her global recognition and influence along with 2025 Young Leader of the Year - The Fast Mode Awards 2025 recognizing exceptional individuals whose leadership, resilience, and technical depth continue to elevate the global telecom ecosystem. Connie's contributions to cybersecurity have been featured in influential books and magazines, including the groundbreaking Women4Cyber's own "Europe's Top Women in Security, Hacking Gender Barriers", along with "The Rise of Cyber Women Vol 3", "Shining the Spotlight - Stories for Business Success." and others.

Krishna Bajpai is a 19-year-old AI researcher and systems engineer specialized in ultra-low-latency infrastructure and foundational AI development. With 9 published research papers and a portfolio of 30 open-source libraries on the Python Package Index (PyPI), Krishna’s work bridges the gap between theoretical computer science and high-stakes financial technology.

Dr Berkan Sesen is an AI researcher and quantitative finance practitioner with 15+ years of experience across investment banking and healthcare AI. At JP Morgan Asset Management, he led the development of ML-powered thematic investment funds managing over $2B AUM. At UBS, he headed the algorithmic execution and AI team. He previously developed AI/ML solutions for algorithmic trading at Citigroup. He holds a DPhil in Artificial Intelligence from the University of Oxford and has authored 15 publications and patents, including peer-reviewed papers in the Journal of the Royal Society Interface, PLOS ONE, and AMIA, two US patent applications, and book chapters in Wiley Finance. His recent research includes work on generative models (arXiv 2024) and RAG validation for clinical cases (medRxiv 2025). He is co-founder of Tinie.ai (digital health, UKABIF Innovation Award 2024) and the A.I.M. Research Lab. He advises AI startups through Techstars and AI Forge.