Work with thought leaders and academic experts from Carnegie Mellon University

Siddharth Maddali

Fremont, California, United States of America
Computational physicist with a specialization in X-ray and optical imaging and microscopy for condensed matter and materials systems.
Education

Carnegie Mellon University

PhD, Physics / May, 2016

Pittsburgh, Pennsylvania, United States of America

Carnegie Mellon University

MS, Physics / May, 2011

Pittsburgh, Pennsylvania, United States of America

Indian Institute of Technology Madras

M.Sc, Physics / May, 2009

Chennai

Bangalore University

B.Sc, Physics, mathematics electronics / June, 2007

Bengaluru
Research Expertise
Computational microscopy
Fourier/physical optics
signal processing
physics
HPC
And 17 more
About
Computational materials, imaging and microscopy scientist with **8 years combined experience** in industry and national laboratories. Expert in physics-based imaging and characterization with X-rays and optical probes, high-performance computing for light-matter interaction and materials data analysis. Experienced in machine learning for materials discovery. Previous experience at the National Energy Technology Laboratory, Argonne National Laboratory and KLA Corporation. <br>

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Dr. H. Colleen Sinclair

Baton Rouge, Louisiana, United States of America
Research Professor overseeing multiple applied research grants with experience in wide array of topics (e.g., destructive leadership, interdisciplinary teams, DEIA)
Experience

Louisiana State University

Research Professor / July, 2022 — Present

Mississippi State University

Assistant and Associate Professor / July, 2005 — August, 2022

University of Missouri

Visiting Assistant Professor / July, 2003 — June, 2005

Carnegie Mellon University

Research Associate / July, 1996 — July, 1998

Research Expertise
Law
Health (social science)
Pathology and Forensic Medicine
Social Psychology
Gender Studies
And 7 more
About
Dr. H. Colleen Sinclair is a highly educated and experienced psychologist with a passion for understanding human behavior and relationships. She received her PhD in Psychology from the University of Minnesota in 2004, after completing a triple major at the University of Colorado Boulder in 1996. Throughout her career, Dr. Sinclair has held various academic positions, including Research Professor at Louisiana State University and tenured Associate Professor at Mississippi State University. She has also served as a Research Associate at Carnegie Mellon University, where she conducted research on human-computer interaction. Dr. Sinclair's research interests are broad. She applies the scientific method to help make the world a better place. She maintains a successful research portfolio exceeding $160 million in funding including being a part of a team to receive the biggest NSF grant in history to improve collaborations between industry and academia to shape the future of energy. She has published numerous articles and has been invited to present her research around the world. In addition to her academic work, Dr. Sinclair is also a sought-after consultant and speaker, providing expertise on topics such as communication skills, conflict resolution, and relationship building. She is known for her engaging and dynamic presentations (see TED talk), which draw upon her extensive research and personal experiences. Dr. Sinclair is committed to using her knowledge and expertise to help individuals and organizations tacke the problems of today to make for a better tomorrow. With her impressive education and experience, she continues to make significant contributions to the field of psychology and the understanding of human behavior.

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Edoardo Airoldi

Professor of Statistics & Data Science Temple University & PI, Harvard University
Education

Università Bocconi

B.Sc., Institute for Quantitative Methods

Milano

Carnegie Mellon University

Ph.D., School of Computer Science

Pittsburgh, Pennsylvania, United States of America
Research Expertise
Statistics
Causal Inference
Network Science
Cell Biology
Molecular Biology
And 39 more
About
Edoardo Airoldi is a Professor in the Department of Machine Learning at Temple University. He is also the Director of the Center for Machine Learning and Health. He is a world-renowned expert in the fields of machine learning and artificial intelligence, with a focus on applications to health. Airoldi is a member of the prestigious Association for the Advancement of Artificial Intelligence (AAAI) and the International Machine Learning Society (IMLS). He has published over 200 papers in leading journals and conferences, and his work has been covered by various media outlets including The New York Times, The Wall Street Journal, The Economist, and Wired.

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Noel M. Jackson, PhD

Lawrence, KS, Kansas, United States of America
Assistant Professor of Geophysics, University of Kansas
Education

Stanford University

Ph.D., Geophysics / December, 2013

Stanford, California, United States of America

Carnegie Mellon University

B.S., Physics / December, 2007

Pittsburgh, Pennsylvania, United States of America
Research Expertise
Geophysics
Crustal Deformation
Slow Slip Events
Subduction Zones
About
## **Dr. Noel M. Jackson (formerly Noel M. Bartlow) is a professor of Geophysics at the University of Kansas.** The ultimate goal of her research is to improve our understanding of earthquakes and related hazards. Dr. Jackson’s research interests include using GPS and GNSS data to study slow slip events (also called slow earthquakes), data inversion, fault locking behavior in subduction zones, and seafloor geodesy. She has also worked on understanding induced seismicity, or earthquakes caused by waste water injection, in Kansas. Dr. Jackson also engages in education and advocacy work locally, and has been quoted as an expert in articles from Science and National Geographic.

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Anindya Ghose

Heinz Riehl Chair Professor of Business, NYU Stern
Education

Carnegie Mellon University

PhD, Information Systems / 2004

Pittsburgh, Pennsylvania, United States of America

Carnegie Mellon University

MS, Information Systems / 2002

Pittsburgh, Pennsylvania, United States of America

Indian Institute of Management Calcutta

MBA, Finance, Marketing, & Information Systems / 1998

Kolkata

Malaviya Regional Engineering College Jaipur

B.Tech., Instrumentation & Control Engineering / 1996

Jaipur
Research Expertise
Data Science
Mobile
Data Privacy
Digital Marketing
Digital Platforms
And 17 more
About
Dr. Anindya Ghose is the Heinz Riehl Chair Professor of Business at New York University Stern School of Business. His research interests are in the areas of IT-enabled platforms, services and products, including mobile apps, social media, digital marketplaces, and big data analytics. He has also done work on understanding consumer behavior in digital environments. He has published over 130 papers in academic journals and has been honored with several best paper awards. He has also served on the editorial boards of several journals, including Management Science, Information Systems Research, and MIS Quarterly. He is a Fellow of the Institute for Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery (ACM).

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Kimi Wenzel

Pittsburgh, Pennsylvania, United States of America
PhD candidate in AI ethics and design -- I understand how people interact with technology.
Education

Carnegie Mellon University

PhD, Human-Computer Interaction / May, 2026 (anticipated)

Pittsburgh, Pennsylvania, United States of America

Carnegie Mellon University

MS, Human-Computer Interaction / December, 2023

Pittsburgh, Pennsylvania, United States of America

Columbia University

BA, Computer Science / May, 2021

New York, New York, United States of America
Research Expertise
human-computer interaction
AI ethics
product design
About
Kimi Wenzel (PhD candidate) is an AI ethics researcher, designer, and speaker. Her projects have been funded by Google, Amazon, Facebook, and the National Science Foundation. She has been published at top AI conferences (NeurIPS, CHI) and presented at large public venues (TEDx). Kimi currently works at the Human-Computer Interaction Institute -- the top research facility in her field. Prior to her PhD, she earned her MS in Human-Computer Interaction from Carnegie Mellon University her BA in Computer Science from Columbia University, Barnard College. She uses both qualitative and quantitative research methodologies, and is versed in the following topics: * Human factors in artificial intelligence * Ethics and societal impacts of technology * Diversity, equity, inclusion in technology * AI and mental health * Social media and mental health * User experience * Gamification

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Anit Kumar Sahu

PhD from CMU working in ML/AI
Education

Carnegie Mellon University

PhD, Electrical and Computer Engineering / December, 2018

Pittsburgh, Pennsylvania, United States of America
Research Expertise
Federated Learning
Stochastic Optimization
Data Selection
Electrical and Electronic Engineering
Signal Processing
And 15 more
About
Anit Kumar Sahu is a highly accomplished researcher and engineer in the field of Electrical and Computer Engineering. He earned his PhD from Carnegie Mellon University in 2018, where he focused his research on statistical machine learning. During his time at CMU, he received the A.G. Jordan award for outstanding thesis. After completing his PhD, Anit joined Amazon Services LLC as a Senior Applied Scientist, where he works on developing innovative solutions for complex business problems using machine learning and artificial intelligence. Prior to joining Amazon, Anit worked at Bosch Center for Artificial Intelligence as a Machine Learning Research Scientist, where he developed cutting-edge algorithms for adversarial machine learning. He is currently Principal AI Scientist at GE Healthcare AI, where he is responsible for leading research and development efforts in the healthcare sector. With his extensive education and experience in both academia and industry, Anit has become a leading expert in the field of machine learning, computer vision, and artificial intelligence. He has published numerous research papers in top conferences and journals, and his work has been widely cited by other researchers in the field. Apart from his professional accomplishments, Anit is also passionate about mentoring and teaching the next generation of engineers and scientists. In his free time, Anit enjoys hiking, trying new restaurants, and traveling to new places. He also actively participates in various volunteer activities and is dedicated to giving back to his community.

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Bobuchi Ken-Opurum, Ph.D.

People-centered researcher in the climate-energy nexus.
Education

Carnegie Mellon University

PhD, Architecture-Engineering -Construction Management / April, 2022

Pittsburgh, Pennsylvania, United States of America

Columbia University

Master of Science, Sustainability Management

New York, New York, United States of America
Research Expertise
Climate Resilience
Energy
Sustainability
Construction Management
Decision Science
About
Dr. Bobuchi Ken-Opurum is a highly qualified and experienced people-centered researcher focused on climate resilience, energy equity, and urban health and wellbeing, fostering sustainable and systemic change. As Research Director at the Building Electrification Institute (BEI), she leads research that supports cities and stakeholders in prioritizing marginalized communities in climate and building decarbonization solutions. Her approach emphasizes co-creation with vulnerable populations, envisioning healthy, inclusive, climate-resilient communities.   Dr. Bobuchi Ken-Opurum created the [Re-HOUSED Multi-criteria Decision Support toolkit ](https://www.re-housed.tools/)that helps self-builders in the tropical Global South in implementing viable and feasible flooding and heat stress resilience design solutions in housing. She holds a Ph.D. in Architecture-Engineering-Construction Management from Carnegie Mellon, an MS from Columbia University, and a BS from Purdue University. Her contributions earned her a spot on the 2023 Forbes 30 Under 30 list, and she’s named one of Grist Magazine’s “50 climate leaders driving fresh solutions to our planet's biggest problems.” She also serves as an author for the Sixth National Climate Assessment (NCA6), contributing to the Climate Effects on U.S. National Security chapter. The NCA6, an interagency effort, is the U.S. Government’s authoritative report on climate change impacts, risks, and adaptation across the nation.   Previously, as Director of Research at the Texas Energy Poverty Research Institute (TEPRI), she led pivotal projects advancing clean, resilient energy access for underserved communities, including Texas’s first Statewide Community Voices in Energy Survey Reports. Her work consistently drives inclusive, sustainable climate solutions.

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Yang Cai

Pioneer of new AI and XR frontiers with his books of “Instinctive Computing” and “Ambient Diagnostics” and many new technologies funded by NASA, Navy, ONR, NOAA, and industries.
Experience

University of California San Diego

Head of Visual Intelligence Studio and Senior Research Scientist / January, 2023 — Present

I lead three projects for real-time AI, AR, and Robotics.

Carnegie Mellon University

Head of Visual Intelligence Studio and Senior System Scientist / January, 2004 — December, 2022

I led many projects funded by NASA, Navy, AFRL, and industries.

Research Expertise
AI
AR
HCI
Artificial Intelligence
Software
And 25 more
About
An author, scientist, engineer, and artist

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Dr. Gail M. Gottfried, PhD

Experienced psychology professor working as subject-matter expert, researcher/editor, and content provider. Recognized for crystal-clear delivery of scholarly and educational information across printed and multimedia digital resources.
Experience

Claremont McKenna College

Visiting Associate Professor

Scripps College

Visiting Lecturer

Pitzer College

Visiting Associate Professor

Whittier College

Adjunct Associate Professor

Pomona College

Lecturer

University of Southern California

Visiting Associate Professor

University of California, Los Angeles

Visiting Associate Professor

Occidental College

Assistant Professor

University of Michigan

Lecturer

Cengage Learning

Psychology Subject Matter Expert

Pearson Education

Senior Development Editor

Carnegie Mellon University

Research Assistant

Research Expertise
Developmental and Educational Psychology
Developmental Neuroscience
Pediatrics, Perinatology and Child Health
Education
Experimental and Cognitive Psychology
And 1 more
About
Dr. Gail M. Gottfried is a highly accomplished developmental psychologist with over 20 years of experience in the field. She holds a BA in English and Psychology from Vassar College and a PhD in Developmental Psychology from the University of Michigan–Ann Arbor. Throughout her career, she has held various teaching positions at prestigious colleges including Claremont McKenna College, Scripps College, Pitzer College, Pomona College, the University of Southern California, and the University of California at Los Angeles. In addition to her teaching experience, Dr. Gottfried has worked as a Psychology Subject Matter Expert at Cengage Learning and a Senior Development Editor at Pearson Education; she is currently a freelance editor for clients such as the American Psychological Association. Dr. Gottfried's expertise lies in the areas of cognitive and language development as well as in educational psychology; she has published numerous articles in reputable academic journals and has received several grants including two from the National Science Foundation. She is dedicated to using her knowledge and experience to positively affect the lives of children and families.

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Shams Al Ajrawi

Assistant professor at Alliant international University and lecturer at SDSU
Experience

WileyEdge

Alliant international university

San diego state university

Grossmont College

Cmu

National University

Usd

Research Expertise
Health Informatics
Computer Networks and Communications
Hardware and Architecture
Software
Control and Systems Engineering
And 9 more

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Serzhan Sakipov

Sensor scientist at at InterX, inc with experience in Computational Chemistry and Machine Learning
Education

American Chemical Society

ACS Reviewer Lab Certificate of Completion, ACS Reviewer Lab

Washington D.C., District of Columbia, United States of America

Carnegie Mellon University

PhD, Chemistry / September, 2018

Pittsburgh, Pennsylvania, United States of America

Moscow Institute of Physics and Technology

MS, Molecular and Biological Physics / June, 2013

Dolgoprudnyi

Moscow Institute of Physics and Technology

BS, Molecular and Biological Physics / May, 2011

Dolgoprudnyi
Experience

InterX, inc

September, 2019 — Present

Carnegie Mellon University

Visiting Research Scientist / September, 2019 — Present

Teaching Assistant/PhD candidate / August, 2013 — Present

Postdoctoral Research Associate / October, 2018 — September, 2019

Photochemistry Center, Russian Academy of Sciences

2011 — 2013

Research Expertise
Theoretical Chemistry
Computational Biophysics
Molecular Dynamics Simulations
Quantum Chemistry
Structural Biology
And 16 more

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stuart eisenstadt

Assistant Dean of IT, CS, Cloud Computing & Mathematics Programs at TESU
Education

Carnegie Mellon University

MS Logic and Computation, Cogntive Science, Philosophy of AI, Philosophy of Mind / June, 1995

Pittsburgh, Pennsylvania, United States of America
Research Expertise
Logic and Thought
Philosophy of AI
Mind
and Cognitive Science
Intentionality
And 21 more

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Jeff Kurish

Ph.D. In nano structures and oxygen sensitive/metallic systems
Education

University of California System

Ph.D., Chemistry / March, 2022

Oakland, California, United States of America

Carnegie Mellon University

BS, Chemistry / May, 2014

Pittsburgh, Pennsylvania, United States of America
Research Expertise
Nanostructure
materials
Biochemistry
Analytical Chemistry

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Joel kamau

Machine Learning Engineer at Intel, Remote
Education

Carnegie Mellon University

masters, machine learning / December, 2012

Pittsburgh, Pennsylvania, United States of America

Georgia Southern University

bachelor, Information technology / December, 2007

Statesboro, Georgia, United States of America
About
Joel Kamau is a highly educated and experienced Machine Learning professional. He earned his Master's degree in Machine Learning from Carnegie Mellon University in 2012, after completing his Bachelor's degree in Information Technology from Georgia Southern University in 2007. Joel has extensive experience in the field of Machine Learning, having worked as a Machine Learning Software Engineer at Siemens in Alpharetta, GA and a Machine Learning Engineer at Intel, working remotely. Through his education and professional experience, Joel has developed a deep understanding of various Machine Learning algorithms and techniques, as well as a strong proficiency in programming languages such as Python, Java, and C++. He has also worked on projects involving natural language processing, computer vision, and predictive modeling. Joel is passionate about leveraging his skills and knowledge to develop innovative solutions and drive business growth through Machine Learning. He is constantly seeking opportunities to expand his expertise and stay updated on the latest advancements in the field. In his free time, Joel enjoys reading books on Machine Learning and playing soccer.

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Sutatch Ratanaphan

Unknown affiliation
Education

Carnegie Mellon University

PhD, Materials Science and Engineering / December, 2013

Pittsburgh, Pennsylvania, United States of America
Research Expertise
Polymers and Plastics
Metals and Alloys
Electronic, Optical and Magnetic Materials
Ceramics and Composites
Mechanical Engineering
And 8 more

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Deborah Gilman

Education

Carnegie Mellon University

Tulane University

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Kunal Mankodiya

Education

Carnegie Mellon University

University of Luebeck

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Shantanu Jathar

Education

Carnegie Mellon University

University of Minnesota

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Dan Gode

Education

Carnegie Mellon University

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