Education

Pranav Bhimani was always interested in the biomedical sciences but was unsure of whether medical school was the right path for him. During his undergraduate experience, however, he took a data science class that shifted his understanding of how he could pursue a career in biomedical sciences. As part of the MS in Biostatistics and Data Science program at Weill Cornell Medicine (WCM), Pranav continued to gain insight into the use of biomedical data.   

Dayoung Kim became interested in artificial intelligence (AI) while completing her undergraduate degree in computer science at the EWHA Womans University in South Korea. She worked in a bioinformatics and natural language processing (NLP) lab there, which shaped her decision to pursue higher education and further her knowledge of AI. She is now an alumna of the MS in Health Informatics program at Weill Cornell Medicine (WCM) and works as a machine learning engineer at Boeing.  

While living in Beijing amidst the pandemic, Guanyu Zou became aware of the increasing value of healthcare data analysis. As he completed his undergraduate coursework, he was motivated to understand and eventually work at the intersection of data and medicine. Guanyu is now part of the MS in Biostatistics and Data Science program at Weill Cornell Medicine (WCM), where he continues to discover the varied fields that biostatistics can benefit. 

Maya discovered the MS in Health Informatics program while in Austria, where she taught English at a secondary school for two years. While there, she volunteered to tutor Syrian refugees in English, and at welcome centers to help Ukrainian refugees who fled the country when the war began. The experiences were jarring but propelled her to want to do more for others on a global scale.