Summary

Marketing executive with 18 years scaling category-defining brands. P&L responsibility for $400M+ in revenue across SaaS, fintech, and consumer. Board advisor at 3 venture-backed companies. Frequent contributor to HBR and Fast Company.

Experience

Education

Skills

• Brand strategyExpert
• Growth marketingExpert
• Org buildingExpert
• Board reportingExpert
• Product marketingExpert
• Executive commsAdvanced
• P&L managementAdvanced

Projects

Certifications

• Executive Leadership Program · Stanford GSB

Languages

• English · NativeExpert
• Igbo · NativeExpert
• French · ProficientAdvanced

Board & Advisory

Independent Director - Lattice (2023–Present) Advisor - Linear, Hex, Retool Mentor - All Raise 'Bootcamp' cohort 2022

Recognition

Forbes CMO 50 (2023) · Adweek Executive of the Year finalist (2022)

Summary

Principal product designer with 12+ years shipping consumer and B2B software at scale. I lead small, senior teams through ambiguous problems and turn them into focused, well-crafted products. Deep experience in fintech, developer tools, and marketplaces.

Experience

Education

Skills

• Product strategy
• Design systems
• Prototyping
• User research
• Workshops
• Design leadership
• Motion & prototyping
• Figma & Origami

Projects

Certifications

• NN/g UX Certification · Nielsen Norman Group
• Design Leadership Forum Fellow · DLF

Languages

• English · Native
• Spanish · Proficient
• Portuguese · Intermediate

Speaking

Config 2023 - 'Designing for the long shift' Smashing Conference SF 2022 - 'Systems that scale humans, not pixels'

Summary

Staff engineer specializing in distributed systems and developer platforms. 12 years building infrastructure that scales - from real-time data pipelines to globally replicated databases. Open-source maintainer and RFC author.

Experience

Education

Skills

• Rust
• Go
• Distributed systems
• Kubernetes
• PostgreSQL
• Observability
• TypeScript
• gRPC / Protobuf
• AWS / GCP

Projects

Certifications

• AWS Solutions Architect Pro · AWS
• CKA - Certified Kubernetes Administrator · CNCF

Languages

• English · Native
• Mandarin · Proficient
• Japanese · Intermediate

Talks

QCon SF 2023 - 'Durable Objects, actually durable' StrangeLoop 2022 - 'Backpressure isn't optional'

Summary

Cognitive scientist studying decision-making under uncertainty. PI of the Stanford Reasoning Lab. 47 peer-reviewed publications and two books. Recent work funded by NSF, DARPA, and the Sloan Foundation.

Experience

Education

Skills

• Bayesian modelingExpert
• fMRI analysisAdvanced
• R / PythonExpert
• Experimental designExpert
• Grant writingAdvanced

Projects

Certifications

• IRB Human Subjects Certification · CITI Program

Languages

• English · NativeExpert
• German · NativeExpert
• French · ProficientAdvanced

Selected Publications

Weiss, H., & Tenenbaum, J. (2024). Resource-rational decision under deep uncertainty. Nature Human Behaviour, 8(3), 401–418. Weiss, H., Park, S., & Griffiths, T. (2023). Sampling strategies in bounded agents. Cognitive Science, 47(9), e13342. Weiss, H. et al. (2022). The structure of intuitive theories. Psychological Review, 129(4), 705–738. Weiss, H., & Lopez-Brau, M. (2021). Meta-reasoning about the value of computation. Trends in Cognitive Sciences, 25(11). Weiss, H. (2020). Sampling as a model of cognitive economy. Cognition, 200, 104274. Weiss, H., & Griffiths, T. (2019). Rational use of cognitive resources. Behavioral and Brain Sciences, 43, e1. Weiss, H. et al. (2018). Learning the value of information in an uncertain world. Cognitive Psychology, 106, 1–34. Weiss, H., & Vul, E. (2017). Sampling for search: a rational model of memory retrieval. JEP:LMC, 43(9).

Books & Chapters

Weiss, H. (2023). The Bounded Mind: Rationality Under Constraint. MIT Press. 342 pp. Weiss, H. (2019). Sampling and search in cognition. In R. Sun (Ed.), Cambridge Handbook of Computational Cognitive Sciences (2nd ed., pp. 214–248). Cambridge University Press.

Grants & Fellowships

NSF CAREER #1845673 - 'Bounded rationality across the lifespan.' $600K (PI, 2018–2023) Sloan Foundation Research Fellowship - $75K (2019) DARPA Machine Common Sense - $1.4M (Co-PI, 2021–2024) James S. McDonnell Understanding Human Cognition Award - $600K (PI, 2022–2027) Templeton World Charity Foundation - $250K (PI, 2020–2022)

Invited Talks

NeurIPS 2023 - Keynote, 'Bounded rationality for machine minds' Cognitive Science Society 2022 - Rumelhart Prize Symposium Royal Society Discussion Meeting 2021 - 'The nature of intelligence' Stanford SymSys Forum 2020, Princeton Neuroscience Institute 2019, Max Planck Berlin 2018

Teaching

COGSCI 204 - Computational Models of Decision (undergraduate, Stanford) PSYCH 385 - Bayesian Models of Cognition (graduate seminar, Stanford) PSY 322 - Judgment and Decision-Making (undergraduate, Princeton, 2016–2020)

Service

Associate Editor - Psychological Review (2022–Present) Program Committee - CogSci Society (2019, 2021, 2023) Reviewer - Nature, PNAS, Cognition, Cognitive Science, NeurIPS Chair, Stanford Faculty Committee on Research Ethics (2023–Present)

Advising

PhD students advised to completion: 6 (4 tenure-track, 2 industry research). Current lab: 12 PhD students, 4 postdocs, 3 research staff. Postdoctoral mentees now faculty at MIT, NYU, UCL, and Toronto.