Electrical engineering doctoral students Charles Delahunt and Mayoore Jaiswal are applying their skills in computer vision and machine learning to the fight against malaria, a disease that affects over 200 million people each year and is one of the most severe public health problems globally. Working with a team at and with support from the , they have developed Autoscope, a low-cost, portable and automated device for diagnosing malaria.聽For Jaiswal, who grew up in Sri Lanka where mosquito-transmitted diseases were and, in some cases, continue to be a serious threat, the project’s social impact is key.