Andrew Marmon

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.

 

Previously at Georgia Tech, I am worked to identify critical quality attributes of cells that indicative of their ability to improve clinical outcomes for patients with osteoarthritis and worked with 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 with an internship with the United Nations where I collaborated with researchers at UNITAC to affect policy decisions that cities make that will enhance their resilience against natural disasters.

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Now at Google DeepMind my focus is on creating the cutting edge video generation and world models to unlock the next stage of AI competency: real-world knowledge and interaction.

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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.