Dean Langsam
About Dean Langsam
Dean Langsam is a Staff Data Scientist at SentinelOne with extensive experience in data science, machine learning, and cybersecurity.
Current Role at SentinelOne
Dean Langsam is currently employed as a Staff Data Scientist at SentinelOne. In this role, he specializes in utilizing machine learning for threat detection and cybersecurity. His work involves applying advanced Python programming and data visualization techniques to develop effective security solutions. He also contributes to the enhancement of SentinelOne's cybersecurity capabilities through deep learning and Bayesian modeling methods.
Previous Positions at SentinelOne
Prior to his current position, Dean Langsam held multiple roles at SentinelOne. From 2020 to 2022, he served as a Senior Data Scientist in Tel Aviv - Jaffa, Tel Aviv District, Israel. Before that, he was a Data Scientist at SentinelOne from 2019 to 2020. In these roles, he focused on developing and implementing advanced data science techniques to bolster the company's cybersecurity efforts.
Experience at BlueVine and HYPR by Julius
Dean Langsam also has experience working at BlueVine and HYPR by Julius. At BlueVine, he was a Data Scientist from 2017 to 2019, where he contributed to data analysis and machine learning projects. Before that, he worked at HYPR by Julius as a Data Scientist from 2016 to 2017, helping to develop data-driven solutions in Tel Aviv - Jaffa, Tel Aviv District, Israel.
Academic Background
Dean Langsam has a strong academic background with degrees from Yale University and Tel Aviv University. He was a Visiting Student at Yale University's School of Public Health, studying Epidemiology in 2015. He earned his Master of Science degree in Industrial Engineering from Tel Aviv University (2013-2017), and a Bachelor of Science degree in Mathematics from the same institution (2005-2008). This diverse educational background equips him with the skills necessary for extensive data analysis and modeling work.
Professional Interests and Contributions
Dean Langsam has a robust interest in Bayesian modeling, Python scientific programming, and data visualizations. He maintains dovpanda, a pandas companion package aimed at improving the efficiency of pandas code. Dean has given talks at various conferences, including a presentation at LABSCon23 on machine learning applications in cybersecurity. His personal website provides more details on his conference talks. Additionally, he has worked on projects such as Quiver, employing innovative machine learning techniques for threat detection. His expertise spans deep learning and its applications in enhancing cybersecurity defenses.