1. Vipin Kumar Regents Professor and William Norris Chair in Large Scale Computing Research interests – Data mining, – high-performance computing, and – their applications in Climate and Biomedical domains. PI of a 5-year, $10 Million NSF Expeditions project – Understanding Climate Change - A Data Driven Approach Awards – ACM SIGKDD 2012 Innovation Award, the highest award for excellence in the field of KDD Author of widely used text books in parallel computing and data mining Books: IAC/UMN Data Mining & Machine Learning Get-Together 2015

2. Big Data Era IAC/UMN Data Mining & Machine Learning Get-Together 2015

3. Big Data Era IAC/UMN Data Mining & Machine Learning Get-Together 2015

4. Great Opportunities to Solve Society’s Major Problems Improving health care and reducing costs Finding alternative/ green energy sources Predicting the impact of climate change Reducing hunger and poverty by increasing agriculture production IAC/UMN Data Mining & Machine Learning Get-Together 2015

5. SNP Brain Imaging Data Big Data in Health Science Genomics Data Mobile Health Data EHR Data Gene Expression Protein Network Mass Spectrometry fMRI Data Diffusion Tensor Imaging EEG Data MEG Data PET Data Activity Heart rate Sleep monitoring Glucose monitoring Blood pressure IAC/UMN Data Mining & Machine Learning Get-Together 2015

6. Big Data in Human Neuroscience fMRI Data Diffusion Tensor Imaging EEG Data MEG Data Gene Exp. PET Data Increasing amount of neuroimaging data is available E.g., Single fMRI 20 min. scan is 6GB in size 8,000 MRI datasets available in public domain (Poldrack et al. 2014) Human Connectome Project (HCP) Alzheimer’s Disease Neuroimaging Initiative (ADNI) Healthcare questions How can we automate diagnosis using imaging data? How can we predict the disease in advance? How can we study effectiveness of treatment methodologies? IAC/UMN Data Mining & Machine Learning Get-Together 2015

7. Big Data in mHealth Rapid growth in wearable devices market Collects a variety of variables: Respiration, Heartrate, Activity, Sleep, Glucose, Blood-pressure, Audio-visual samples Healthcare questions: – Can we predict psychological state (e.g. stress, anger)? – Can we assess lifestyle choices (e.g., smoking and diet)? – Can we study the relapse patterns in treating addiction? – Can we deliver telemedicine at the right time? Conversation Smoking Stress IAC/UMN Data Mining & Machine Learning Get-Together 2015