Dr. Saffet Gökçen Şen

Working on Pearlian causal inference, causal artificial intelligence, machine learning, deep learning, Bayesian statistical modeling

Developed machine learning models for diagnosis of some diseases Implemented ETL for NHIS and NHANES data for use in the development of machine learning models Built postgresql databases using RxNorm and SNOMED data, wrote drug and health related queries Created several Google Dialogflow agents by means of the Dialogflow console and Dialogflow Python API

Devised a method to detect the changes in the ad zone behavior Developed classifiers to determine which ad zones to open for maximum profit Created an R program for full automatic visual reporting of the required ad metrics

Implemented research on electromagnetics and computational electromagnetics Created programs using Fortran90 and Mathematica for electromagnetic wave simulations Published several research articles in prestigious journals (publications in my Linkedin profile)