The Data Standard

The importance of making data useable in healthcare with Jonah Leshin
Jonah Leshin, Head of Data Science at Datavant sits down with TDS to discuss the importance of making data useable in healthcare.

Episode Summary

Data science is an interdisciplinary field that extracts knowledge and insights from many structural and unstructured data, using scientific methods, data mining techniques, machine-learning algorithms, and big data. The healthcare industry generates large datasets of useful information on patient demography, treatment plans, results of medical examinations, insurance, etc. Data science provides aid to process, manage, analyze, and assimilate the large quantities of fragmented, structured, and unstructured data created by healthcare systems. This data requires effective management and analysis to acquire factual results. In this episode, guest Jonah Leshin sits down with TDS to discuss the importance of making data useable in healthcare. Jonah joined Datavant from Highland Math, where he was co-founder and Chief Data Scientist, leading data analytics and data monetization. Jonah holds a Masters in Math from the University of Cambridge, where he studied as a UK Fulbright Scholar, and a Ph.D. in Math from Brown University. Outside of work, Jonah enjoys playing tennis and taking family walks.

Meet The Host

Catherine Tao

Data scientist at The Data Standard

Catherine Tao is a tech enthusiast looking for new methods for building connections with businesses around the world. Her extensive knowledge of data science allowed her to develop new solutions and implement them into existing ecosystems. She is currently working as a Data scientist and Exclusive Podcast Producer at The Data Standard.

Meet The Guest

Jonah Leshin

Head of Data Science at Datavant

Leader of technical teams with competencies in data science and data engineering. Expertise in machine learning and statistical analysis. Experience with data science tools in Python and R, databases, and AWS infrastructure