Sep 23–26, 2019

clare jeon
Data Scientist, Klick

Clare Jeon is a data scientist at Klick, where she focuses on identifying digital biomarkers for diagnosis, risk assessment of diseases, and prevention of health problems. She also explores the applications of machine learning to optimize clinic performance. Previously, she was involved in working on the systems biology of cancer and the development of the computational pipeline to identify key genomic and clinical signatures for cancer treatment. She holds a PhD in bioinformatics and systems biology.

Sessions

1:15pm–1:55pm Thursday, September 26, 2019

Location: 1A 08/10

Handling data gaps in time series using imputation

Data Science, Machine Learning, & AI

Secondary topics: Temporal data and time-series analytics

Alfred Whitehead (Klick), clare jeon (Klick)

Time series forecasts depend on sensors or measurements made in the real, messy world. The sensors flake out, get turned off, disconnect, and otherwise conspire to cause missing signals. Signals that may tell you what tomorrow's temperature will be or what your blood glucose levels are before bed. Alfred Whitehead and Clare Jeon explore methods for handling data gaps and when to consider which. Read more.