About

Dr. Lawrence Gray is an experienced Data Scientist and Computational Biologist. Dr. Gray earned his BS from CSUF and his Ph.D. from the Johns Hopkins University, School of Medicine.

He is now the Head of Data Science at KPMG Spark, where he builds predictive products with machine learning and Python. Dr. Gray is also a faculty member at Georgetown University, where he teaches Data Science and Data Analytics.

He is also a freelance data science consultant specializing in e-commerce and social media for tech startups. He is a frequent volunteer and committee member for PyCon and NumFocus. His main research interests involve understanding how text influences social media engagement and open source development.

What People Say

Larry serves on the technical advisory and governing board of the Yellowbrick open source project in addition to his other roles as educator and professional data scientist. This fact alone should tell you a lot about Larry – being part of an open-source project can be a thankless and demanding task and yet Larry is committed to ensuring that the project grows and succeeds. His contributions to the project have shown his strong character of peace; he has a depth of patience and can remain unfrustrated and unflustered in even challenging code review situations. Larry spends a lot of time thinking about how people will be influenced by the code he writes – a must for any data scientist and machine learning practitioner. He is always eager to spread the word, to teach, inspire, and advise. He is also fearless and bold – willing to talk to anyone and everyone no matter who they are. He’s the reason Guido von Rossum knows about Yellowbrick!

Dr. Benjamin Bengfort

Larry is a conscientious teacher who cares about each student’s progress and understanding. I really enjoy how engaged he is in class, checking in with each student and asking how they are doing and how the curriculum is working for them. Larry makes every effort to meet students for additional help outside of class and is more than willing to help with any kind of Python problem or question. I do not know that I’ve ever had a more engaged and caring teacher. The way he explains the basics of Python and presents the content makes the curriculum feel accessible to anyone who is engaged. I am grateful to have learned from Larry and for the extra time he spent with me while I worked to apply my new Python skills to applications at my workplace. I highly recommend Larry as a teacher and leader.

Kassandra Van Keuren

I had the pleasure of working with Lawrence through his support of the Data Analytics and Visualization (DAV) Master’s Program at the Maryland Institute College of Art (MICA) in Baltimore. Lawrence designed and developed an incredibly well-received optional Python course for our students. Additionally, Lawrence served as a guest evaluator during the DAV student thesis presentations. Lawrence’s expertise, professionalism, friendliness, and responses to students’ needs are exceptional; I look forward to working with him again soon.

Lisa Twiss, Ed.D

Larry serves on the technical advisory and governing board of the Yellowbrick open source project in addition to his other roles as educator and professional data scientist. This fact alone should tell you a lot about Larry – being part of an open-source project can be a thankless and demanding task and yet Larry is committed to ensuring that the project grows and succeeds. His contributions to the project have shown his strong character of peace; he has a depth of patience and can remain unfrustrated and unflustered in even challenging code review situations. Larry spends a lot of time thinking about how people will be influenced by the code he writes – a must for any data scientist and machine learning practitioner. He is always eager to spread the word, to teach, inspire, and advise. He is also fearless and bold – willing to talk to anyone and everyone no matter who they are. He’s the reason Guido von Rossum knows about Yellowbrick!

Dr. Benjamin Bengfort

Let’s build something together.