February Presentation Night: Medical Image Analysis

Details:
QuantumBlack has agreed to sponsor our February Meetup.
There will be a couple of talks, lots of networking along with food and drinks!
Please bring an official ID to get into the building.

Agenda:
6:00pm - 6:30pm
Meet & Greet - Welcome
6:30pm - 7:30pm

• Talk 1 – by Razvan Marinescu
• Talk 2 – by Mainak Jas
  7:30pm - 8:00pm
  Networking & Wrap up

Venue:
WeWork Cambridge, 625 Massachusetts Ave, 2nd floor, Cambridge, MA 02139

Talk 1: Machine learning for prediction and visualisation of brain diseases. Demonstration on Alzheimer's disease

Speaker Bio:
Razvan Marinescu is a postdoctoral researcher at MIT, working with Polina Golland to develop machine learning algorithms for quantifying pathologies in the human brain, as well as visualisation of machine learning prediction models. During his PhD, he developed Bayesian statistical models for prediction of Alzheimer's disease and related neurodegenerative diseases. He further organised TADPOLE, an international competition that gathered 92 algorithms from 33 teams for predicting the evolution of Alzheimer's disease. At MIT, he currently works on methods to visualise what black-box classifiers learned, which are useful for debugging, increasing model performance and building trust in order to deploy such systems to the clinic.

Talk 2: Exploring neural time series data with MNE-Python

Speaker Bio:
Mainak Jas is a research fellow at the AA Martinos Center for Biomedical Imaging. His research focuses on computational modeling, signal processing, and optimization for electrophysiology data. He is passionate about open science, data sharing, and reproducible research. When he is not hunting significant p-values, Mainak can be found contributing to open source Python projects. He has more than 6 years of experience in open source and is a core contributor to MNE-Python, an established software package for analyzing neural time series data.