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Data Science ARES

Data Science ARES

Learning from Data in Single-Cell Transcriptomics

February 13, 2023

Speakers:

Sandrine Dudoit

The ability to measure gene expression levels for individual cells (vs.

Human Populations and Gene Mapping, Some Novel Directions

January 30, 2023

Speakers:

Chiara Sabatti

Identifying which genetic variants influence medically relevant phenotypes is an important task both for therapeutic development and for risk predi

Teaching Reproducibility and Responsible Workflows

January 16, 2023

Speakers:

Nicholas Horton

Modern statistics and data science utilizes an iterative data analysis process to solve problems and extract meaning from data in a reproducible ma

Quantitative Modeling of Brain-Behavior Relationships

December 5, 2022

Speakers:

Amy Kuceyeski

The brain is arguably the most complex object in the known universe, with ~100 billion neurons and ~100 trillion connections, from which arise huma

Using Interpretable Machine Learning and Network Systems Approaches to Uncover Mechanisms Underlying Pathophysiology of Immune Disorders

November 28, 2022

Speakers:

Jishnu Das

Modern multi-omic technologies can generate deep multi-scale profiles.

Looks Okay to Me: A Study of Best Practice in Data Analysis Code Review

November 14, 2022

Speakers:

Kelly Bodwin

Education in statistical computing requires that we train students not only in programming skills and principles, but also in good data science hab

Markov-Switching State Space Models for Uncovering Musical Interpretation

October 24, 2022

Speakers:

Daniel J. McDonald

For concertgoers, musical interpretation is the most important factor in determining whether or not we enjoy a classical performance.

Stochastic Spatial Random Forest for Detecting Remotely Sensed Forest Change Despite Missing Data

September 12, 2022

Speakers:

Jacinta Holloway-Brown

Forest cover is an indicator of species habitat and biodiversity that can be monitored effectively using satellite images.

Random Structures and Patterns in Spatio-Temporal Data: Probabilistic Modelling and Statistical Inference

May 24, 2022

Speakers:

Radu Stoica

The useful information carried by spatio-temporal data is often outlined by geometric structures and patterns.

Reproducibility and Open Science with the Jupyter Ecosystem: From Research to Teaching

April 18, 2022

Speakers:

Fernando Pérez

I will discuss how today’s open source ecosystem allows for research and educational practices that can make science more open, collaborative and r

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