chris wiggins

108 Followers

24 SlideShares 108 Followers 174 Followings

Chris Wiggins is an associate professor of applied mathematics at Columbia University and the Chief Data Scientist at the New York Times. At Columbia he is a founding member of the Department of Systems Biology, the executive committee of the Data Science Institute (http://datascience.columbia.edu/), and the Institute's education and entrepreneurship committees. He is also an affiliate of Columbia's Department of Statistics and a founding member of Columbia's Center for Computational Biology and Bioinformatics (C2B2). He is a co-founder and co-organizer of hackNY (http://hackNY.org), a nonprofit which since 2010 has organized once a semester student hackathons and the hackNY Fellows Progr...

machine learning data science the new york times columbia university artificial intelligence ethics history new york times data tukey nycftw python statistics predictive analytics reinforcement learning journalism prescriptive learning columbia r new york city startups critical data studies hackny media publishing grants quantitative advertising quantitative marketing rstats open source nsf wiggins wwjwtd? idse eda nyc fret biophysics variational methods data sciecne news berlin technology dumpsterfirology computational biology deep learning product computational social science princeton fairness big data american statistical association hoteling multi-armed bandits causality bandits causal inference instrumental variables thompson sampling design thinking entrepreneurship data product lean startup data engineering brown university ai breiman data journalism puppet

Activity
About

Data: Past, Present, and Future (Cornell Digital Life Seminar on Data Literacy & Ethics in the Lab on February 13th, 2018)

7 years ago • 1042 Views

chris wiggins

Presentations

variational bayes in biophysics

Wiggins 2013 05-29

Lean workbench 2013-07-24

data science in academia and the real world

intro data science at NYT 2015-01-22

Chris Wiggins: "engagement & reality"

data science: past, present, and future

data science history / data science @ NYT

data history / data science @ NYT

data science @NYT ; inaugural Data Science Initiative Lecture

lean + design thinking in building data products

Machine Learning Summer School 2016

data science: past present & future [American Statistical Association (ASA) Chairs Workshop]

Data: Past, Present, and Future (Lecture 1, Spring 2018)

Data: Past, Present, and Future (Cornell Digital Life Seminar on Data Literacy & Ethics in the Lab on February 13th, 2018)

"data: past, present, and future" lab 2 (EDA) notes by Prof. Matt Jones

"data: past, present, and future" lecture 1 (intro) 1/22/19

history and ethics of data

Data Science at The New York Times

Data Science at The New York Times: what industry can learn from us; what we can learn from industry

a mission-driven approach to personalizing the customer journey

"data: past, present, and future" day 1 lecture 2020-01-20

"data hum: a core approach to the ethics of data"

data science at the new york times

Likes

Data: Past, Present, and Future (Lecture 1, Spring 2018)