Best Quantum Computing Experts

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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.

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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.

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.

Versatile product and technology leader, team builder, and hands-on architect recognized for turning vision into execution, rescuing at-risk programs, and designing pragmatic, scalable systems. Deep experience supporting U.S. Department of Defense and Federal agencies—translating mission needs into modern, secure solutions and navigating complex stakeholder environments. Known for diagnosing root causes behind slipping timelines and budgets, then aligning people, process, and platform to deliver results. Expertise spans building and leading high-performing cross-functional teams, establishing enterprise and technical architectures, and uniting stakeholders with diverse incentives around measurable outcomes. Comfortable operating in regulated, high-assurance settings and coordinating with government stakeholders, primes, and integrators. Long track record of shipping complex initiatives end-to-end—communicating with equal fluency from command line to boardroom.

Specialties: Quantitative analysis of financial markets using Artificial intelligence (ai) and Machine learning, crypto currency and management.

I am a researcher specializing in applied cryptography with a focus on Privacy-Enhancing Technologies (PETs). Throughout my career, I have focused on creating practical solutions to real-world problems using PETs such as secure multiparty computation (MPC), homomorphic encryption (HE), and zero-knowledge proofs (ZKP). Driven by the impact of cryptography on contemporary society, I am motivated to apply my knowledge to create a safer and more private world.

Head of Studies at InterActive