Speaking

Moderated a panel on voice as the new business interface for AI, with case studies and measurable results in customer service and sales. Panelists from Cogna, Lojas Renner, the Brazilian Ministry of Communications, and McKinsey.

Makes the case that technical literacy is a governance tool, not a nice-to-have: why "trust the vendor" and "trust the eval score" both fail without someone who can explain the mechanics, and how deterministic and neurosymbolic techniques give more explainable failure points than pure LLM pipelines.

Keynote speaker at the Society of Women Engineers corporate dinner and career fair at my alma mater, speaking to the SWE community in Philadelphia.

Panelist at the Federal Reserve Bank of Boston discussing cross-border AI collaboration, talent development, and research partnerships between the U.S. and Canada.

Panelist on AI strategy and product leadership, with a focus on the evolving role of women in technical and executive AI roles.

Discussed founding AINovva, bootstrapping through consulting revenue, the path from chemical engineering to product leadership, and advice for hiring your first product manager.

Panel discussion on building AI teams and closing the skills gap in the rapidly evolving AI landscape—covering recruitment, training, and organizational readiness.

Panelist on the evolving role of women in technical and executive positions in AI.

Demystifying AI with Chad Pytel—covering the ramifications of daily AI use, why AI is a tool that should not be utilized just because you can, inherent AI bias, and the expanding AI bubble.

Keynote addressing the promises and harms of AI in genomics and biotech. Explored bias in datasets, privacy concerns with longitudinal health data, and frameworks for responsible AI that respect data privacy while improving patient outcomes.

Featured as part of International Women's Day 2025—sharing the journey from chemical engineer to AI founder and the lessons learned building privacy-first AI systems.

Discussion on Industry 4.0 analytics, predictive maintenance, and how manufacturers can leverage data to drive operational improvements.

Deep dive on challenges faced by women in tech, unconscious bias, the impact of AI and machine learning, and the evolving role of product leaders in leveraging emerging technologies.

Discussed big data applications in electronics manufacturing at IPC APEX Expo—covering how Arch Systems helps manufacturers extract actionable insights from machine data for efficiency gains.

Interview on manufacturing analytics and the role of AI/ML in improving production quality and machine utilization.

Discussed the launch of expert.ai Natural Language API (NL API), making symbolic NLP technology available to a broader audience of data scientists and engineers, and the company's vision for a hybrid NLP platform combining deterministic AI with machine learning.