Congratulations Buyan for being selected to the Insight Data Engineering Fellowship Program !!
Shifali will work as a Quality Assurance inter. Her job responsibilities include process validation and software validation that support the maintenance and compliance to Super Brush’s ISO 13485:2016 quality system.
Vijeta is joining MGH after finishing his MS in Industrial Engineering with an excellent thesis on control optimization modeling for identifying optimal screening schedules for cancers in low infrastructure settings.
Project from my 200-level GenEd class, 16 students from 8 different majors – engineering, public health, computer science, economics, physics, biology, management, journalism. They did a literature review for identifying quantified correlations between social determinants and behavior, and behavior and HIV. And developed a differential equations simulation model for predicting impact of addressing social determinants. So proud of them!
Wonderful to participate in a high school teacher training session with Prof Shannon Roberts and PhD students Sonza Singh and Nazanin
Vijeta will develop Markov processes based analytic models for predicting disease risks including acute rheumatic fever and rheumatic hearth disease, and risks of indoor air pollution. He will work closely with experts in statistics, public policy, and software development. Avenir Health is a non profit organization in Connecticut that works closely with multiple United Nations agencies and partners in developing open access decision analytic models for disease prevention. This internship will be a significant step in completion of his MS thesis in disease modeling of cancers for Peru. Good luck Vijeta!
“It was a great opportunity to participate in INFORMS annual meeting 2018, a gigantic conference gathering engineers and scientists from across the globe. The contribution we as IEOR can have on different areas have a great societal impact. The key is to not only contribute to the math but more importantly concentrate on “after the math”, translation of the model and results to non-technical policy makers. “