Research & evaluation

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Andrej Karpathy is an AI researcher and educator who founded Eureka Labs, an AI-native education company. Previously, Andrej served as the Director of AI at Tesla, leading the Autopilot computer vision and neural network architecture teams, and was a founding research scientist at OpenAI. Widely revered as one of the world's premier deep learning educators, he created nanoGPT and the landmark 'Neural Networks: Zero to Hero' lecture series.

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Partner and Founder Co-CEO of Certainty Lab Head of Digital Strategy & AI‑Enabled Growth, Certainty Lab For more than two decades I have lived at the intersection of data, psychology and technology—turning marketing uncertainty into measurable growth. My career began in the late 1990s, when “Digital” meant dialing‑up and hand‑tuning search‑engine algorithms. Since then I have led global SEO and PPC programs, architected full‑funnel ABM engines, managed 250+ performance campaigns across Google Ads, Meta/Facebook, LinkedIn, X/Twitter and programmatic display, and woven behavioral‑economics thinking into board‑level marketing decisions. Today, at Certainty Lab, I channel that 25‑year journey into building precision solutions that help leaders act with confidence in an AI‑defined world. An Evidence‑Driven Marketer in a Lab Built for Certainty Certainty Lab exists to reduce the Problem of Uncertainty (POU), by fusing hard science with advanced AI. My role is to convert that mission into practical, market‑moving outcomes. The Library — Theoretical Unit we Distill the newest findings from behavioral psychology, decision science and persuasion research into actionable journey maps, copy formulas and strategic frameworks. Experimental Ground — Empirical Unit Run high‑velocity growth experiments—SEO sandboxes, paid‑media pilots, multivariate UX tests—and feed the winning patterns back into our data models for continual optimization. AIPLS — Applied AI Precision‑Living Solutions Oversee the creation of production‑ready AI agents that uncover audience insights, personalize content at scale and predict campaign performance long before a single dollar is committed. Core Competencies Digital Business Development— Identifies new revenue corridors, secures partnerships and spins up GTM motions that scale from pilot to global roll‑out. AI Agent Engineering — Blueprints and oversees intelligent agents that listen, learn and act across the entire customer lifecycle. Campaign Leadership at Scale — Directed 250+ multi‑channel campaigns with relentless ROAS and LTV optimization. Marketing Automation Architecture — Builds serverless, event‑driven ecosystems that connect CRM, ad platforms and analytics in real time. Performance Marketing — 15+ years of hands‑on SEO, PPC and programmatic leadership across SaaS, healthcare, finance and nonprofit sectors. Account‑Based Growth (ABM) — Creates micro‑segment scoring models and intent‑data loops that turn suspect lists into pipeline. Behavioral & Decision Psychology — Applies Kahneman‑inspired heuristics and nudges to craft friction‑free digital journeys. Executive Client Stewardship — Trusted advisor to C‑suites in Fortune 500 firms and mission‑driven NGOs, translating complex analytics into clear strategic choices. Professional Certifications & Leadership Google Ads Certified — Search & Display specializations SEO Specialist Certification — Advanced technical & content optimization Meta/Facebook Certified Media Buying Professional— Performance and creative ABM Program Leader— Proven expertise in orchestrating ABM initiatives Cutting‑Edge Toolkit & Methodologies Generative Creative AI — Deploy diffusion & LLM pipelines that automatically generate and A/B‑test thousands of ad creatives every week. RAG‑Powered Knowledge Graphs — Build retrieval‑augmented QA engines that turn disjointed documents into on‑demand, conversational knowledge bases. AI‑Accelerated Business Development — Design AI workflows that compress partnership scouting and proposal drafting from weeks to days. Custom LLMs for Digital Audits — Train domain‑specific models that perform full‑site SEO/UX audits in under an hour. 3‑Day POC/MVP Sprints — Lead cross‑functional workshops that transform raw ideas into clickable prototypes within 72 hours. Data‑Backed Storytelling Dashboards — Auto‑generate executive‑ready visual narratives that tie metrics to strategic decisions. Low‑Code Automation Playbooks — Launch modular Zapier/Make scripts that replace repetitive campaign ops, saving 20+ hours per month. Selected Milestones Global Campaign Command — Orchestrated and optimized 250+ paid‑media campaigns across five continents, sustaining double‑digit ROAS growth. Brand Steward to Market Leaders & NGOs — Managed the digital presence for dozens of flagship brands and mission‑driven nonprofits, amplifying share‑of‑voice while safeguarding reputation. Front‑Line Applied‑AI Mastery — Led first‑wave deployments of generative‑ad engines, predictive lead‑routing and autonomous bid strategies, shrinking time‑to‑insight by 60 %. Idea‑to‑MVP in 72 Hours — Built rapid‑validation pipelines that transform raw concepts into demo‑ready POCs within days, accelerating stakeholder buy‑in and compressing innovation cycles. Non‑Profit Digital Empowerment (Pro Bono) I believe that social impact organizations deserve the same caliber of data‑driven growth enjoyed by the world’s best commercial brands. Through pro bono engagements I guide NGOs in Digital transformation, marketing automation and AI‑powered business development, enablנing them to operate with enterprise‑grade efficiency while advancing their critical missions. From end‑to‑end CRM implementations to AI chatbots that amplify donor engagement, these collaborations convert purpose into measurable, scalable results. My Philosophy “Uncertainty is not the enemy of growth; it is the raw material of insight.” Marketing success today depends on **precision learning loops**—systems that sense weak signals, decide autonomously and adapt at speed. At Certainty Lab I build those loops. By weaving cutting‑edge AI with a quarter‑century of marketing craft, I help organizations move from intuition to evidence, from guesswork to clarity, and from static campaigns to living, self‑optimizing ecosystems.

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Dr. Alondra Nelson is the Harold F. Linder Professor at the Institute for Advanced Study and former Acting Director of the White House Office of Science and Technology Policy (OSTP). During her tenure in the Biden-Harris Administration, she led the creation and release of the landmark Blueprint for an AI Bill of Rights, establishing foundational principles for algorithmic safety, discrimination protection, and data privacy.

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Dr. Dan Hendrycks is the Executive Director of the Center for AI Safety (CAIS). He developed the Massive Multitask Language Understanding (MMLU) benchmark, the industry's standard test for general knowledge and reasoning in LLMs, as well as foundational benchmarks for safety, robustness, and mathematical problem solving.

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Dr. Eric Topol is a world-renowned physician, scientist, and author. He is the Founder and Director of the Scripps Research Translational Institute, Professor of Molecular Medicine at Scripps, and Senior Consultant at Scripps Clinic. His research assesses how multimodal artificial intelligence transforms cardiology, clinical diagnostics, and genomic medicine.

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Dr. Eva-Marie Müller-Stüler stands among the world’s foremost leaders in artificial intelligence (AI) and data science, renowned for her groundbreaking contributions that have shaped the foundation of modern AI. With a career spanning over two decades, she has consistently driven innovation through seminal concepts such as the Center of Excellence (COE), data ecosystems, and proprietary algorithms-advancements that remain pivotal to global AI frameworks today. Currently leading the Data & AI practice for Ernst & Young (EY) in the Middle East and North Africa (MENA), Dr. Müller-Stüler spearheads the development of transformative data strategies, governance frameworks, and cutting-edge AI solutions for Fortune 500 companies, governments, and NGOs. By integrating AgenticAI (autonomous, goal-driven AI systems) and Generative AI (GenAI) into enterprise operations, she is revolutionizing how organizations optimize workflows, enhance decision-making, and reimagine customer experiences. Her prior role as CTO for Artificial Intelligence and Chief Data Scientist at IBM (Middle East & Africa) further solidified her reputation as a trailblazer in deploying scalable, ethical AI systems.

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Dr. Jimeng Sun is the Health Innovation Professor of Computer Science at the University of Illinois Urbana-Champaign and Director of the Center for Healthcare Informatics. With over 30,000 academic citations, Jimeng is an IEEE Fellow and creator of PyHealth, a deep learning toolkit for healthcare predictive modeling, clinical trial matching, and EHR foundation models.

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Dr. Jim Fan is a Senior Research Manager at NVIDIA where he leads the Generalist Embodied Agent Research (GEAR) lab. Jim completed his Ph.D. at Stanford University under Fei-Fei Li. He is the creator of Voyager, the first lifelong learning embodied agent in Minecraft powered by LLMs, and MineDojo, which won the NeurIPS 2022 Outstanding Paper Award.

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Dr. Lilian Weng is a renowned machine learning researcher and former Vice President of Research and Head of Safety Systems at OpenAI, where she led teams mitigating hallucination, bias, and jailbreaks across GPT-4 and ChatGPT. Her authoritative research blog, Lil'Log, is universally recognized across the AI industry as the definitive synthesis of autonomous agents, diffusion models, and prompt engineering.

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Linxi (Jim) Fan is an AI researcher at NVIDIA. His official research profile describes work on generalist agents for robotics, games, and software automation. He earned his PhD at Stanford, advised by Fei-Fei Li. His listed publications include work on humanoid robot learning and synthetic data generation, including coauthorship of HumanoidMimicGen in 2026.

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Dr. Marcos Lopez de Prado is the Global Head of Quantitative Research & Development at the Abu Dhabi Investment Authority (ADIA) and a Professor of Practice at Cornell University's College of Engineering. He has published dozens of scientific papers on financial machine learning and backtest overfitting, earning multiple Quant of the Year awards.

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Dr. Percy Liang is an Associate Professor of Computer Science and Statistics at Stanford University and the Director of the Center for Research on Foundation Models (CRFM). His research spans natural language processing, foundation model evaluation, transparency, and statistical robustness. He is the lead organizer of HELM (Holistic Evaluation of Language Models).

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Dr. Rumman Chowdhury is an internationally acclaimed pioneer in AI ethics, governance, and algorithmic red-teaming. She is the CEO of Humane Intelligence and serves as a US Science Envoy for Artificial Intelligence. Formerly the Director of Machine Learning Ethics, Transparency, and Accountability at Twitter, Dr. Chowdhury organizes the world's largest public algorithmic audits.

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Dr. Sasha Luccioni is a prominent AI researcher and the Climate Lead at Hugging Face. Her work focuses on quantifying the environmental impacts of artificial intelligence, model card auditing, and building transparent metrics for energy consumption and carbon emissions during training and inference.

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Dr. Suchi Saria is the John C. Malone Endowed Chair and Associate Professor of Computer Science, Health Policy, and Statistics at Johns Hopkins University, and the Founder and CEO of Bayesian Health. A pioneer in clinical AI and causal machine learning, Suchi created early warning systems deployed across US health systems that significantly reduced inpatient sepsis mortality.

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I am a biophysicist specializing in applied science, with a focus on translating theory into practical applications. My multidisciplinary expertise encompasses advanced scientific methodologies, computational modeling, data analysis, and AI, which I utilize to bridge the gap between science and technology, enabling innovative real-world solutions.

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Eugene Yan is an Applied Scientist at Amazon working at the intersection of machine learning systems, recommendation algorithms, and production LLM applications. His technical publications on RAG patterns, offline evaluation, and LLM design patterns are among the most cited practitioner resources in the industry.

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Hamel Husain is an AI consultant and founder of Parlance Labs. Previously a Staff Machine Learning Engineer at GitHub, Airbnb, and DataRobot, Hamel teaches engineers how to build, evaluate, and fine-tune production LLM systems. His guides on evaluation-driven development and domain-specific fine-tuning are widely used across top AI startups.

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Inioluwa Deborah Raji is a fellow at the Mozilla Foundation, CS PhD candidate at UC Berkeley, and Mozilla Tech Fellow. Deborah is widely recognized for her seminal research on algorithmic bias and commercial auditing, including co-authoring the landmark Gender Shades evaluation with Joy Buolamwini that exposed demographic disparities in facial analysis software and led to industry-wide policy changes.

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Maciej Turek is an AI marketing and growth consultant based in Amsterdam, helping SaaS, fintech, and e-commerce companies scale through data, automation, and artificial intelligence. With over a decade of experience leading acquisition, retention, and CRM strategy for brands like bunq, Bitvavo, and Resumedia, he builds measurable, AI-powered systems that connect marketing efficiency with customer lifetime value. His consultancy focuses on AI-driven growth strategy, predictive analytics, performance marketing automation, and CRM implementation. Maciej applies machine-learning models, experimentation frameworks, and automated optimization loops to improve ROI, reduce churn, and accelerate decision-making across acquisition and lifecycle campaigns.

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Tim Dettmers is a Staff Research Scientist at the Allen Institute for AI (Ai2) and former Postdoc at the University of Washington. Tim is the creator of bitsandbytes and co-author of QLoRA, breakthrough open-source technologies that democratized high-performance 4-bit and 8-bit quantization and fine-tuning on consumer GPUs.

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Tri Dao is the Chief Scientist at Together AI and an Assistant Professor in the Computer Science Department at Carnegie Mellon University. He is the principal inventor of FlashAttention and FlashAttention-2, breakthrough hardware-aware exact attention algorithms that transformed modern LLM training and inference efficiency. He is also the co-inventor of Mamba, pioneering linear-time state-space models.