Ameet Talwalkar
Associate Professor, Machine Learning · Carnegie Mellon University
Ameet Talwalkar's work is motivated by the goal of democratizing machine learning.
Machine Learning Algorithms Computational Biology Bioinformatics Data Mining
Rayid Ghani
Distinguished Career Professor · Carnegie Mellon University
Rayid Ghani is a reformed computer scientist who wants to increase the use of large-scale Machine Learning in solving large public policy.
Predictive Analytics Machine Learning Ethics Public Policy Information Systems
Malik Magdon-Ismail
Professor, Computer Science · Rensselaer Polytechnic Institute
Learning from data and decision-making in complex data systems
Probability and Stochastic Processes Pattern Recognition Machine Learning Big Data Algorithms
Olexandr Isayev
Assistant Professor, Chemistry · Carnegie Mellon University
Olexandr Isayev's research focuses on solving fundamental chemical problems with machine learning, molecular modeling and quantum mechanics.
Theoretical Chemistry Computational Chemistry Machine Learning Cheminformatics Drug Discovery
Hoda Heidari
Assistant Professor · Carnegie Mellon University
Hoda Heidari is broadly interested in the Ethical and Societal Aspects of Artificial Intelligence and Machine Learning.
Elections Fairness and Accountability Artificial Intelligence Ethics Machine Learning
Aarti Singh
Professor · Carnegie Mellon University
Aarti Singh researches machine learning, statistics and signal processing, focusing on algorithms for learning and decision making.
Digital Twins Human Factors in Decision Making Autonomous Decision Making Machine Learning Signal Processing
Deva Ramanan
Professor · Carnegie Mellon University
Deva Ramanan's research interests span computer vision and machine learning, with a focus on visual recognition.
Human-Centered Robotics Human-Robot Collaboration Machine Learning Embedded in Systems Neurorobotics 3-D Vision and Recognition
Xiaoming Liu
MSU Foundation Professor · Michigan State University
Xiaoming Liu works on computer vision, machine learning, and biometrics, especially on face related analysis.
Deepfake Detection Biometrics Computer Vision Machine Learning Pattern Recognition
Sai Zhang
Assistant Professor · University of Florida
Sai Zhang's research leverages machine learning and big biomedical data to decode complex human diseases and advance precision medicine.
Computational Biology Computational Genomics Machine Learning Precision Medicine Statistical Genetics
Eric Yttri
Assistant Professor · Carnegie Mellon University
Eric Yttri's research goal is to establish how neural circuits lead to these action selection decisions.
Motor Coordination Cognitive Brain Function Neural Circuits Neuroscience
Emma "Mickey" MacKie
Assistant Professor · University of Florida
Mickey MacKie uses geophysical observations and machine learning techniques to study the topography, geology and hydrology of glaciers.
Cryosphere Research Glaciology Topography, geology and hydrology of Glaciers Machine Learning Glaciers
Tomasz Arodz, Ph.D.
Associate Professor · VCU College of Engineering
Dr. Arodz's research focuses on machine learning and bioinformatics
Biomedical Data Science Foundational Models Bioinformatics Machine Learning & Deep Learning Quantum Machine Learning
Amir Hayeri
Chief Executive Officer · Bio Conscious Technologies
As the Founder & CEO of Bio-Conscious Technologies Inc, Amir has a diverse background in developing novel medical software technology.
Medical Software Technology Artificial Intelligence Machine Learning Glucose Monitoring Diabates
Carolyn Penstein Rosé
Professor · Carnegie Mellon University
Carolyn Penstein Rosé's research looks to understand and improve human conversation through computer systems.
Language Technologies Human Conversation Text Mining Human-Computer Interaction Computational Discourse Analysis
Vilma Todri
Associate Professor of Information Systems & Operations Management · Emory University, Goizueta Business School
Economics and Machine Learning Digital Advertising Digital Strategy Online Consumer Behavior Social Media
Preetam Ghosh, Ph.D.
Interim Chair and Professor, Department of Computer Science · VCU College of Engineering
Professor Ghosh researches complex networks and systems biology, using modeling and simulation, applied-AI and network science.
AI Wireless Networking and Mobile Computing Systems Biology Stochastic modeling and discrete event simulation Mobile ubiquitous and grid computing
Ken Holstein
Assistant Professor · Carnegie Mellon University
Ken Holstein's research focuses broadly on AI-augmented work and improving how we design and evaluate AI systems for real-world use.
Elections Intelligence Augmentation Applied Machine Learning Artificial Intelligence Human-Computer Interaction
Zhoumeng Lin
Associate Professor · University of Florida
Zhoumeng Lin’s research is on developing computational models to study nanomedicine, food safety, nanoparticle and chemical risk assessment.
Machine Learning Food Safety Assessment Environmental Health Physiologically-Based Pharmacokinetic (PBPK) Modeling Toxicology
RJ Nowling, Ph.D.
Associate Professor · Milwaukee School of Engineering
Dr. Nowling is passionate about CS education and collaborating with students in research at the interface of computer science and biology.
Computer Science Machine Learning Data Science Genomics Data Structures and Algorithms
Alona Fyshe
Assistant Professor · University of Victoria, Computer Science Department
Machine Learning and the Neuroscience of Language Understanding
Machine Learning Neuroscience and Language Computational Linguistics Natural Language Processing Data Analysis and Data Mining