D-Lab and the Virtual Companion project presentations

          D-Lab and the Virtual Companion project presentations on the “Using Bayesian Inference to Tackle Problems with Small Sample Size,” “Emotion Recognition using Physiological Data,” “Approaches to Building Thermal Comfort Models using Machine Learning,” “Application of Gene-set Analysis to Classify Dihydroartemisinin Resistance in P. Falciparum,” and “Online Optical Monitoring System of Cell Cultures”. On August 8, 2019, D-Lab at SIT hosted several presentations given by Mr. Sungiun Han Jun, Ms. Reina Ke, Ms. Trudie Joley Cheung, Ms. Nicola Tatyana Lawford, and Ms. Alisa Douglas, respectively. All were summer intern students from Canada.