Soudeh is a data scientist at Megalab where she develops AI based healthcare solutions to investigate the multifaceted risk factors associated with diseases and enhance the automation of their diagnosis. She has been collaborating with TechDev Academy for several years and taught students data analysis projects. Soudeh received her Ph.D. in Electrical engineering from the University of Naples, Federico II, Italy. Due to her interest in the intersection of electrical engineering and Artificial Intelligence (AI), she began a profound adventure in the field of data science and AI. She has collaborated with Stanford scientists on projects that aimed to automate medical diagnosis of diseases with the help of image processing techniques and AI.

AI-based Sarcopenia Assessment in Hypertension patients

In this project, students will explore the intersection of artificial intelligence and healthcare. They will develop an AI-based system to assess sarcopenia, a condition characterized by the loss of muscle mass and function, in hypertension patients. Through machine learning algorithms and data analysis, students will work towards creating a reliable and efficient tool for assessing sarcopenia in a specific patient population. This project offers students the opportunity to integrate technology and healthcare to improve patient outcomes.

These programs are carried out in groups of 5 to 8 people. In order for the project to be completed successfully, participants are required to conduct research and prepare a project report.

It is not a lecture program. On the contrary, it is a training module that teaches how to conduct research, project development, teamwork and task distribution, and report preparation in the company of academics and professionals. Apart from the meetings, the participant may need to work extra, individually and as a team, for approximately 4 hours per week.

Soudeh Yaghouti, PhD Data Scientist at Megalab, Silicon Valley 