Sunishchal Dev

This stream will focus on evaluation science, CBRN capability benchmarks, and automated red-teaming.

Stream overview

Science of evaluations, creating novel benchmarks for threat model relevant capabilities (i.e. CBRN), automated redteaming frameworks for CBRN threat assessment

Mentors

Sunishchal Dev (Dev)
Center for AI Standards and Innovation, RAND
,
AI Evaluations Research Scientist
Washington, D.C.
Biosecurity
Capability and Propensity Evaluations

Sunishchal Dev is an AI evaluations research scientist focused on assessing biological and chemical risks from frontier AI models. Previously, Dev worked in data science and management consulting on enterprise AI and climate solutions.

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Mentorship style

Fellows we are looking for

Project selection

Streams

The Winter 2026 cohort offers a wide range of research streams led by experts across AI alignment, interpretability, governance, and safety. Each stream provides its own research agenda, methodology, and mentorship focus.

Oxford
Theory
AI Welfare
SF Bay Area
Control, Model Organisms, Scheming & Deception, Strategy & Forecasting
SF Bay Area
Theory
Interpretability
Tübingen
Dangerous Capability Evals, Agent Foundations, Adversarial Robustness, Monitoring, Scalable Oversight, Scheming & Deception
SF Bay Area
Policy and Governance
Dangerous Capability Evals, Policy & Governance
New York City
Monitoring, Dangerous Capability Evals, Scalable Oversight, Safeguards
SF Bay Area
Policy and Governance
Strategy & Forecasting, Policy & Governance
Montreal
Agent Foundations, Dangerous Capability Evals, Monitoring, Control, Red-Teaming, Scalable Oversight
SF Bay Area
Control, Model Organisms, Red-Teaming, Scheming & Deception