Andrew Marmon

My passion is to engage with industry and academia to improve the world with data. At Virginia Tech I assisted in machine learning research with Dr. Bert Huang to detect and prevent hate speech on social media platforms. As a machine learning engineer at Slalom, I collaborated with Cornell epidemiology researchers to determine if non-cancerous mammograms contained information related to whether a woman developed cancer. I also was able to lead the open source initiative at Slalom where we publicized the breast cancer image clustering model that was presented at the Google NEXT keynote in 2019.

 

In my current role at Georgia Tech, I am working to identify critical quality attributes of cells that indicative of their ability to improve clinical outcomes for patients with osteoarthritis. I am also working with Dr. Frank Dellaert to combine deep learning with factor graphs to improve the state-of-the-art in computer vision. This work has culminated to an internship this Summer with the United Nations where I have been collaborating with researchers at Relational AI and UNITAC to affect policy decisions that cities make that will enhance their resilience against natural disasters.

 

Over this time, I have been fortunate enough to contribute to numerous different high-impact projects that utilize machine learning for social good. I have learned the tools to translate cutting-edge techniques into code that can be used to make real world impact.

 

I am always looking for new partnerships and projects aligned with my goal to create a better global society with artificial intelligence and machine learning. My current interests are in sustainability, computer vision, and mobile manipulation.