September 2019. Burcu Beykal, a 5th year Ph.D candidate and Data Science Core trainee at the Texas A&M University (TAMU) SRP Center, was featured in the NIEHS SRP e-Posted Notes (Issue 188, September 6, 2019), “Beykal Optimizes Computer Models to Address Environmental Health Problems”. She develops computer algorithms to make data science models perform better so they can be applied to complex engineering and biomedical problems. Under the guidance of Dr. Stratos Pistikopoulos, she analyzes data for several TAMU SRP projects.
Beykal co-authored a publication focused on development of the TAMU SRP computational platform for data integration, visualization, and analysis, and she was recently awarded first place for her proficiency in the Python Programming Language at the TAMU INFORMS Python Competition and second place in the oral presentation category at the TAMU Chemical Engineering Graduate Student Association Symposium.
Beykal is actively involved in several student organizations, and is also a journal reviewer for Computers & Chemical Engineering, Journal of Global Optimization, Computational Geosciences, and International Journal of Electrical Power and Energy Systems.
Read the complete article in: NIEHS e-Posted Notes, Sept 6, 2019