Nikhil Malik
AI and Business
AI Applications in Business · 45-925 · MBAMore
Tepper School of Business, CMU · Spring 2027
How managers evaluate, steer and govern AI applications, across five business domains.
  1. Multi-Modal Valuations home valuation · stock valuation · vision-language models · images, text and audio · time-series signals
  2. Digital Twin product testing · clinical trials · synthetic users · calibration with humans · sycophancy · validity vs. cost
  3. Algorithmic Judgment credit approval · hiring · interpretability · decision rules on AI outputs · selective labels · fairness vs. accuracy
  4. Agentic Commerce shopping agents · AI pricing · generative engine optimization · prompt injection · AI vs. human content
  5. Human-AI Workflows customer service · manager escalation · orchestration · jagged frontier · accountability
Introduction to LLM and Business Applications · 46-996 · MSBAMore
Tepper School of Business, CMU · Spring 2027
Hands-on LLM skills, from multi-modal models to agents, applied to real problems and the business models they enable.
  1. Multi-Modal tokens and embeddings · vision-language models · APIs · structured outputs · vibe coding · home valuation
  2. Steering and Alignment persona prompting · fine-tuning · calibration with humans · RLHF · sycophancy · market research
  3. Interpretability attribution · probing · performance metrics · decision thresholds · fairness · credit approval
  4. RAG, Tool Use and Agents retrieval-augmented generation · tool use · guardrails · prompt injection · shopping agents
  5. Human-AI Workflows multi-agent orchestration · model selection · cost per task · manager escalation
Economic Foundations of AI · 47-965 · PhDMore
Tepper School of Business, CMU · Fall 2025, Fall 2026
Doctoral seminar on machine learning, generative AI and agents in empirical, methodological and theoretical business research.
  1. Empirical Research AI-generated variables · unstructured data · AI as information · causal impact of AI · macro/micro implications
  2. Methodological Research econometric challenges · estimation bias · deep reinforcement learning · recommender systems · A/B test
  3. LLM Agents LLMs as human agents · persona experiments · agentic economy · multi-agent interaction · markets prime for disruption
  4. Analytical Models strategic AI design · Bayesian inference from AI outputs · competing algorithms · market equilibrium
  5. Interpretable AI surrogate models · interpretable-by-design · mechanistic interpretability · explaining AI decisions
Digital Marketing Strategy
Graduate · Tepper School of Business, CMU · Fall 2025, Fall 2026
Undergraduate · Tepper School of Business, CMU · Spring 2026
Graduate · Marshall School of Business, University of Southern California · Spring 2022–2025
FinTech
Graduate · Tepper School of Business, Carnegie Mellon University · Fall 2018
Guest Lectures
  • 2026Explainable AI · UC Irvine Merage Responsible AI in Business Course, January 2026
  • 2025“AI Applications and Pitfalls” · ConnectAmericas AIccelerator, November 2025
  • 2024“Promise and Perils of AI” · IIM Bangalore Meijin-Samvad, April 2024
  • 2019“Tutorial on Deep Learning in Computer Vision” · INFORMS Annual Meeting, Seattle, WA
  • 2019“Tutorial on Deep Reinforcement Learning” · CMU Summer Workshop on ML, Pittsburgh, PA