About Chris

I’m a Principal level data scientist and applied AI researcher with 13 years of industry experience across data science, strategy, analytics, and applied research. My path has taken me from working on U.S. national-level political campaigns, to roles at IBM and Nielsen, building early machine learning pipelines for brand-level consumer forecasts at firms like the Coca Cola Company , to co-authoring an ICML paper on LLM reasoning, and pursuing current research at the intersection of AI, formal reasoning, AI4Humanities and AI4Science. Across each chapter of my career, I’ve been drawn to hard, ambiguous problems: how to make sense of messy data, how to communicate complex ideas clearly, how to advise stakeholders under uncertainty, and how to turn intellectual curiosity into concrete outcomes. I’ve worked with executives, researchers, campaign teams, and technical peers, and I bring a mix of analytical rigor, strategic thinking, and practical experience to my coaching. I help clients clarify their goals, sharpen their story, and navigate competitive academic and professional paths with confidence. Whether you’re breaking into data science or AI, preparing for graduate school, exploring AI/ML/DS projects at the enterprise, or trying to translate a nontraditional background into a compelling narrative, I can help you think through both the big picture and the details that matter.