Best Quantum Computing Experts

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.

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.

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.

tomfrazier.com/about/ I’m Tom Frazier. Over the last 25 years I’ve built and scaled technology companies across the United States, Australia, and Asia — spanning consumer products, B2B software, data infrastructure, and AI. Some I founded. Others I helped build as an investor, board member, advisor, or operator (CEO, CSO, CTO, CMO). Along the way I ran a startup incubator, operated a private equity fund focused on data centers, authored patents in cloud computing, and published work cataloged in the U.S. Library of Congress. ⸻ WHERE I CAN ADD VALUE I provide operator-level insight on how technology and business actually work in practice — beyond theory. • AI in the real world — what’s working vs. hype • Startup building & scaling — from zero to growth • Data centers, cloud, and infrastructure — constraints and what’s next • Cybersecurity & risk — real-world implications at scale • Capital & investing — how deals get done and where markets misprice • Product & go-to-market — turning products into adoption • Global tech markets — especially U.S. ↔ APAC Most useful when a story needs signal over noise — what’s happening, why it matters, and what comes next. ⸻ ENTERPRISE & INDUSTRY Former Regional Director of Cloud Computing & Security for Verizon APAC, leading cloud and security strategy across a complex, fast-moving market. Earlier, I worked as a security consultant for the U.S. federal government, protecting highly sensitive digital assets. I’ve also spent 10+ years in startups and capital — raising funds, managing a private equity fund, and running an accelerator that incubated 50+ companies. That combination — enterprise infrastructure, security, and full-lifecycle capital — shapes how I evaluate risk and build durable companies. ⸻ PRODUCTS & INNOVATION I’ve taken companies to CES and onto major platforms including The Android Show and large-scale influencer channels. Success at that level requires more than product — it requires brand, narrative, and operational readiness. ⸻ PATENTS & PUBLISHED WORK Named inventor on cloud computing patents and published author with work cataloged in the U.S. Library of Congress. ⸻ SPEAKING Speaker at conferences across technology, infrastructure, and innovation.

Results-oriented technology leader with over 9 years of experience in Infrastructure Security, Automation, Generative AI, and Software-Defined Operations. Demonstrated ability to lead high-performing teams, streamline enterprise support, and execute strategic initiatives that enhance organizational resilience and operational efficiency. A seasoned cybersecurity professional, experienced in vulnerability and patch management at scale, with a strong track record of driving measurable, data-driven impact through intelligent automation. Skilled in designing and implementing secure, scalable, and compliant infrastructure solutions that align with business and regulatory goals. Proven expertise in project and program management, particularly within Agile and Scrum frameworks, with a focus on cross-functional collaboration, risk mitigation, and continuous improvement. Recognized for combining technical depth with strategic vision to deliver transformative outcomes in complex enterprise environments.

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.

My professional journey started at the age of 17 when I moved 10,000 miles away from everyone I knew to the opposite end of the planet at UC San Diego, and became a part of their inaugural Data Science major. Working on ML Systems Research for 2.5 years, including a Data Platform for scalable Deep Learning, Transfer Learning with CNNs, and scalable systems for GCNs was my introduction to Deep Learning and unlocked publications and recognition at CIDR & ACM SIGMOD. My first professional experiences with some of the leaders in the Financial, Consulting, Pricing, and Enterprise Software domains involved: 📄 Inventing a tool with a novel ML workflow to parse US Companies' Filings 🤖 Developed a chatbot for a $200,000 client proposal 🚩 Formulating a preprocessing framework to automatically flag warnings for bad ML feature combinations for 50+ global pricing models ⚙️ Implementing 4 hyperparameter optimization algorithms in Apache MADlib for petabyte-scale Massively Parallel Postgres (MPP) databases such as GreenplumDB. Upon joining the Microsoft AI Development Acceleration Program (MAIDAP), I worked with 4 orgs across Microsoft for 6 months each, working on projects around: 🎮 AIOps tooling for contrast analysis, enabling 6+ teams in Azure, M365, & Xbox with upto 6x TTM reduction for VM perf issues, Container Faults, and video-game cheating detection 🏆 Tensor Query Processor (TQP) & AI-centric DB System (executing SQL queries on a GPU), winning Best Demo Paper at VLDB and 1st place at Microsoft’s Global Hackathon Cloud Executive Challenge ⚖️ Responsible AI tooling for CV models in Azure ML, announced by Microsoft’s CEO for Public Preview at Microsoft Build 2023, gaining 500+ stars for the RAI Toolbox GitHub repo 📉 Resource Profiling plug-in for Azure saving >100k/year More recently, my work involved: 🚀 Release Computer Vision model support in Azure ML's Responsible AI Dashboard announced at Microsoft Build 🚀 Implementing and shipping Azure OpenAI Evaluations for Public Preview release announced at Microsoft Ignite ⚡ Leading telemetry efforts for Microsoft Foundry Evaluation tooling, involving query optimizations to reduce memory overhead by 40x and improve data refresh latency by 60% 🔀 LLM Fine-tuning & Evaluations for AI-powered Merge Conflict Resolutions in the planet’s largest codebase (the Windows OS repo) Feel free to get in touch! 📅 Appointments: calendly.com/agemawat 🎤 Speaking Request: bit.ly/AdvityaGemawatSpeaker Disclaimer: All opinions provided are my own and do not reflect or represent my employer or any other entity.

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.

Founder of Sovereign Forger, building born-synthetic financial data for AI training and compliance testing. Our math-first pipeline generates UHNWI and KYC/AML profiles from Pareto distributions and algebraic constraints -- zero real data input, zero re-identification risk. 1.3 million records produced, zero balance-sheet errors. Expert in GDPR Article 25 data protection by design, EU AI Act Article 10 training data governance, DORA resilience testing, and PCI DSS 4.0 pre-production data requirements. Published research on SSRN covering the born-synthetic methodology for regulatory-compliant data generation.

I'm Jamin Mahmood-Wiebe, co-founder and Managing Director of IJONIS, an AI agency in Hamburg, Germany. We build & integrate AI-powered solutions for businesses - not slide decks, not strategy papers, but working software that ships to production. My background is unusual for someone running an AI agency. I started in corporate analytics at Shell, moved into entrepreneurship, and taught myself to code along the way. That combination - business operations, startup chaos, and engineering - shapes everything we build. Before AI, I ran businesses. I co-founded a Japanese rice sandwich concept called Sando & Ichi that won the German Gastro Startup Award 2018 and was acquired by Germany's third-largest cafe chain. I co-founded Vulvani, an online education platform for women's health that now serves tens of thousands of monthly visitors and was recognized as Kreativ- und Kulturpiloten by the German federal government. I built and ran a 7-figure international e-commerce operation selling workwear across Amazon and our own shops. In 2024, I pivoted IJONIS fully into AI. Today we've shipped four products to market: VellumSign (AI-powered interactive web proposals), FlatMagic (Amazon listing automation), Parq (AI-powered sales training), and GEO Lint, the first open-source linter for Generative Engine Optimization - helping content rank not just in Google, but in ChatGPT, Perplexity, and AI Overviews. My technical expertise spans full-stack development, AI systems architecture, multi-agent orchestration, and growth automation. I work daily with Claude, building agentic workflows that handle everything from prospect research to content creation to outreach. Topics I can speak to with depth: AI adoption for businesses, generative engine optimization (GEO), building AI-powered products as a non-traditional engineer, e-commerce automation, the German Mittelstand's AI readiness gap, and what it actually takes to ship AI solutions beyond the prototype stage. I speak German (native) and English (fluent). Based in Hamburg, available for remote interviews across time zones.

Independent Cybersecurity Researcher with track record in Offensive Security and Artificial Intelligence

As CTO and Co-founder of pqcrypto.ai, I’m focused on building scalable, production-ready, and fully auditable solutions that help organizations achieve quantum resilience without disrupting their existing security frameworks. At pqcrypto.ai, we’re bridging the gap between today’s cryptographic systems and the post-quantum future.

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.

📌 Key Areas: Secure Software Engineering | Zero-Trust Security | Cloud & DevOps Security | AI for Cyber Defense | Research & Innovation | Cybersecurity Advocacy I am an award-winning Cybersecurity Professional and Software Engineer with about 10 years of experience building secure, resilient, and scalable systems that safeguard enterprises and critical infrastructures worldwide. At Microsoft, I have spearheaded high-impact security engineering initiatives across Azure, DevOps, and enterprise security driving innovations in zero-trust frameworks, system observability, automation, and AI-integrated security solutions. My contributions have fortified services relied upon by global customers while elevating industry standards in reliability, compliance, and risk management. Beyond corporate impact, I am deeply committed to advancing the cybersecurity community. As an advisor, trainer, and researcher, I actively contribute to academic publications, global workshops, and non-profit initiatives with multiple global organizations like CyberNGO, Mentors Without Borders, TCET, CHARUSAT, PARUL, MSU, Live2Serve and Many More, promoting cybersecurity awareness and training future leaders. Recognized with honors such as the Global Recognition Award 2025 and multiple CISO50 Innovation & Excellence Awards, my mission is to bridge research, engineering, and leadership to shape the future of digital trust and resilience.

Authored 20 AI research papers. Website: https://prane-eth.github.io/

Head of Studies at InterActive

Creating technologies and systems for Cybersecurity & Remote Work that help billions of users in thousands of organizations be able to work from anywhere using any device while maintaining a robust cybersecurity posture. With nearly 2 decades in technical leadership roles at Microsoft, Meta (Facebook), and Citrix, Punit combines research and engineering skills with creative design to conceive novel solutions that secure network, data, and systems of organizations across the globe while also enabling the 'future of work (which is increasingly remote)'. Punit builds systems and solutions that span domains such as cybersecurity, remote work enabling technologies, internet of things, networks, mobile & ubiquitous computing, observability, and large scale distributed systems. Punit works at all scales from proof-of-concept to production at internet scale, and his work has contributed to billions of devices & users. Punit is a passionate proponent & communicator of all things tech and strives to help everyone better understand & leverage technology. Punit revels in all aspects of mentoring, whether it's providing supervision and mentoring in a 1:1 situation, technology consulting, guiding a group of fresh college grads launch themselves into the tech world, or delivering an in-person presentation to a large audience. Punit has been featured in leading newspapers and magazines like USA Today, Entrepreneur, Nasdaq, and MSN. For example: - USA Today article featuring Punit: https://www.usatoday.com/story/special/contributor-content/2025/01/15/tips-from-a-cybersecurity-expert-to-protect-your-business-in-the-digital-age/77722570007 - Entrepreneur article featuring Punit: https://www.entrepreneur.com/finance/how-cybersecurity-protocols-impact-profitability-insights/483375 Punit holds 19 patents worldwide. He has also been awarded with the senior membership of IEEE. Punit's technical expertise includes cybersecurity, malware detection & prevention, threat intelligence, DDoS attack prevention, MITM attack prevention, zero trust security, web content filtering, cloud firewall, remote work enabling technologies, ZTNA, secure service edge (SSE & SASE), clientless-VPN, software defined perimeter, networks & protocols, monitoring & observability, large scale distributed systems, algorithms & problem solving.

I'm a blockchain expert and DeFi analyst with over 7 years in finance and 5 years in crypto. Over the past few years, I’ve helped launch 500+ crypto and fintech projects: from custom blockchains and DeFi protocols to tokenomics and NFTs. Right now, I’m the Blockchain Expert at Innowise and CTO of Haust Network - a fast, modular Layer-2 built with Polygon tech. My background is in finance and mathematical modeling, so I focus on making crypto products not just innovative, but financially sound and scalable. I’ve also taught 3,500+ students, spoken at global conferences, and worked on projects that raised millions. I hold certifications in DeFi and business analysis, including participation in ETHGlobal’s LFGHO hackathon and Unite DeFi, as well as formal training in software development business analysis from Stormnet.

Jerom is a Data and AI specialist at Indium Software, a global technology services company known for its expertise in Data Analytics, Agentic AI, Cloud Services, and Digital Engineering. With hands-on experience across enterprise AI implementation, analytics strategy, and intelligent process automation, Jerom works with organizations to bridge the gap between AI potential and real business value.