CS alumnus Alex Lu works as a senior researcher on the Microsoft New England Research and Development team. His research focuses on using novel machine learning methods to generate hypotheses in biology.
A team of U of T computer scientists led by PhD student Sejal Bhalla has designed software that uses deep learning algorithms to decipher changes in vocal characteristics that indicate the lung condition of patients with chronic obstructive pulmonary disease.
Computer scientists, led by PhD students Marta Skreta and Naruki Yoshikawa, have developed a framework called CLAIRify that converts natural language inputs into a domain-specific language that chemistry robots can understand and follow.
Recent PhD graduates Alberto Camacho and Rodrigo Toro Icarte were recognized for their doctoral theses at the 2023 International Conference on Automated Planning and Scheduling.
Alumnus Christian Muise and professors Sheila McIlraith and J. Christopher Beck received an Influential Paper Award for their 2012 paper, “Improved Non-deterministic Planning by Exploiting State Relevance.”
U of T computer scientists have identified key variables that influence users’ experiences with text messaging systems aimed at supporting psychological well-being.
A team of U of T computer scientists explores how an interactive camera robot can assist in creating dynamic tutorial videos based on subtle verbal and non-verbal instructor cues.
