Bryn Smith

I am thankful to Bryn Smith, research coordinator at the University of Washington, who provided me with valuable information and helpful suggestions as I worked on my project. Ms. Smith has experience in clinical research and I value her feedback on my bioethics document. She was very encouraging all through and was always available to help out with the biomedical portion of the project. Ms. Smith introduced me to a few professionals (who were interviewed for this website) in the field of Artificial Intelligence and Machine Learning.
Nicholas Dobbins

Nicholas Dobbins is an application developer who worked on the Microsoft Amalga Data Warehouse that is now the Cardigm Intelligence Platform. Mr. Dobbins responded to my questions over email and I am extremely grateful for the time he took to meticulously answer my questions about predictive medicine. His in-depth explanations were extremely beneficial to me as I was adding content to my website.
Mojtaba Solgi

Mojtaba Solgi is a senior engineer at Uber Technologies with a strong background in machine learning. He works with the Machine-learned Maps team to develop cutting-edge mapping technologies. I am deeply thankful for the opportunity to interview Mr. Solgi, who graciously took time out of his very busy schedule and answered my questions on machine learning. He gave me detailed explanations of how machine learning can be effectively used in the medical field. He also told me about some of the challenges and limitations of machine learning in general. I am profoundly thankful to him for taking the time to answer my questions.
BA Winston

I am also grateful to B.A. Winston, a technology executive at Amazon, who provided constructive input on my project from a technology perspective. He gave me a lot of critical feedback on my diagrams of the architecture behind predictive and precision medicine as well as the overall layout of my website. I have learnt much from him and value the many discussions this project has generated.