Zb6fr94y4zkjuajtetpa
Meet up

Inspiring Women in Data Science: Data Science in Sciences

Monday, 11th February at CodeNode, London

This meetup was organised by Inspiring Women in Data Science in February 2019

We will be celebrating the International Day of Women and Girls in Science making a special session called "Data Science in Sciences"! This time we have invited three great speakers that will share with us how Data Science (DS) could be applied in different Sciences (agriculture, energy and health).

Agenda

6pm - 6:30pm Arrival & Intro to IWDS

6:30pm - 7:30pm Data Science in Sciences

7:30pm-8pm Panel session

From 8pm Snacks, drinks and networking

Data Science in Agriculture

Kathryn will cover some of the ways they at Agrimetrics have applied ML and DS within the agri-food industry. In addition, she'll share some of the challenges and opportunities DS faces in agriculture.

Kathryn Berger

Kathryn Berger is a Senior Data Scientist and DS Team Lead at Agrimetrics, where she provides practical solutions to clients within agri-food industry using advanced analytics and ML. Her background is in ecological modeling, remote sensing and geospatial analysis.

Data Science in Health

Sulia will discuss several different projects currently undertaking at PHE to demonstrate the varied and highly useful application of DS within public health.

Sulia Celebi

Sulia Celebi is a Senior Data Scientist at Public Health England (PHE). She works across two teams: the Public Health DS function and the National Mental Health Intelligence Network. Her background is in statistics, originally studied Mathematics and Music at Durham University, and completed a MSc in Epidemiology and Biostatistics at the University of Leeds.

Data Science in Energy

Virginia Gori will give an overview of how data science can be applied in the Energy sector and then talk a bit about her research. Virginia has a keen interest in energy demand reduction in the built environment and sustainable design, both at the urban and building level.

Virginia Gori

Virginia Gori is a Research Fellow at the UCL Energy Institute and member of the Physical Characterisation of Buildings group. She has expertise in developing advanced physically informed data analysis techniques (e.g., using Bayesian statistics) for the characterisation of buildings’ performance.

Thanks to our sponsors

Attending Members

Overview

We will be celebrating the International Day of Women and Girls in Science making a special session called "Data Science in Sciences"! This time we have invited three great speakers that will share with us how Data Science (DS) could be applied in different Sciences (agriculture, energy and health).

Agenda

6pm - 6:30pm Arrival & Intro to IWDS

6:30pm - 7:30pm Data Science in Sciences

7:30pm-8pm Panel session

From 8pm Snacks, drinks and networking

Data Science in Agriculture

Kathryn will cover some of the ways they at Agrimetrics have applied ML and DS within the agri-food industry. In addition, she'll share some of the challenges and opportunities DS faces in agriculture.

Kathryn Berger

Kathryn Berger is a Senior Data Scientist and DS Team Lead at Agrimetrics, where she provides practical solutions to clients within agri-food industry using advanced analytics and ML. Her background is in ecological modeling, remote sensing and geospatial analysis.

Data Science in Health

Sulia will discuss several different projects currently undertaking at PHE to demonstrate the varied and highly useful application of DS within public health.

Sulia Celebi

Sulia Celebi is a Senior Data Scientist at Public Health England (PHE). She works across two teams: the Public Health DS function and the National Mental Health Intelligence Network. Her background is in statistics, originally studied Mathematics and Music at Durham University, and completed a MSc in Epidemiology and Biostatistics at the University of Leeds.

Data Science in Energy

Virginia Gori will give an overview of how data science can be applied in the Energy sector and then talk a bit about her research. Virginia has a keen interest in energy demand reduction in the built environment and sustainable design, both at the urban and building level.

Virginia Gori

Virginia Gori is a Research Fellow at the UCL Energy Institute and member of the Physical Characterisation of Buildings group. She has expertise in developing advanced physically informed data analysis techniques (e.g., using Bayesian statistics) for the characterisation of buildings’ performance.

Thanks to our sponsors

Who's coming?

Attending Members