Datacast

Episode 40: Biological Aging, Probabilistic Programming, and Private Machine Learning with Matthew McAteer

Episode Summary

Matthew McAteer is a Machine learning Researcher at FOR.ai. Before this, he got his career started in biological aging, before moving on to the mission of figuring out ways in which machine learning could be used on large amounts of noisy biomedical data. He has worked for many companies as a machine learning engineer and researcher, ranging from small startups to Google's TensorFlow team. His work on subjects like security and safety in machine learning has also been showcased at top conferences like ICML.

Episode Notes

Show Notes

His Contact Info

His Recommended Resources

Episode Transcription

KEY TAKEAWAYS

Below are highlights from my conversation with Matthew.

ON HIS INTEREST IN BIOLOGY

ON STUDYING AT BROWN

ON BEING A FREELANCE MACHINE LEARNING ENGINEER

ON CONTRIBUTING TO OPENMINED

ON BUILDING DE-MOLOCH

ON BECOMING A MACHINE LEARNING ENGINEER

ON MACHINE LEARNING RESEARCH INTERVIEWS

ON UNDER-INVESTIGATED ACADEMIC FIELDS