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information on D^3, please visit https://d3.harvard.edu . Business, the global economy, and societies around the world are facing dramatic upheaval as a result of rapid technological change driven
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models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees. Research areas include Representation Learning, Machine learning and Optimization
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will engage in research projects spanning Business Model Transformation, Operating Model Transformation, Organizational and Workforce Transformation, Performance and Metrics, Data Privacy and
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, genetic, and transcriptomic analyses of key regulators of brain aging using mouse and cerebral organoid models. Design and perform experiments to study the roles of microglia and oligodendrocytes in
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. Experience with computational text analysis, such as NLP methods, historical text processing, topic modeling, semantic change, or related techniques. Broad interest in cultural evolution, cognitive
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language models. Our main goal is to create a PL+AI system that is the best at verified program synthesis. We will use the verification-aware programming language Dafny and co-evolve an LLM and a discovery
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https://d3.harvard.edu and https://d3.harvard.edu/lish/ . Research Focus: Postdoctoral Fellows at D^3 will conduct research at the intersection of innovation, digital transformation, and artificial
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. Candidates will perform research on agentic AI, foundational modeling, optimization, and control of multiagent autonomous systems with an application in renewable energy and power grids, in addition to working
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experimental data, and writing for peer reviewed social science journals. Candidates should have some familiarity with: Causal analysis and experimental design: difference-in-differences and fixed effects models
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on research activities at our research labs. D^3 conducts research at the intersection of academia and practice. For more information on D^3, please visit https://d3.harvard.edu/labs . D^3 is looking