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WiDS Edinburgh 2023

WiDS Agenda

8:30Registration
9:00WELCOME & OPENING REMARKS
Dr. Gule Saman, Assistant Professor, Heriot-Watt University
9:30KEYNOTE
My Data Science journey – then, now and the future.
Jackie Caldwell, Information Consultant – electronic Data Research and Innovation Service (eDRIS), Public Health Scotland
Lightening Talks 1
10:10Moderator
Maizura Mokhtar, Data Scientist, SP Energy Networks
1.  Lily Battershill, From Volcanic Tsunamis to Digital Mental Health: Journeying with Data Science , IESO
2. Aryelly Rodriguez, What are the re-identification Risk Scores of Publicly available anonymized clinical trial datasets?, University of Edinburgh
3. Galina Printsypar, Fighting Financial Crime Using Data Science, HSBC
4. Muniba Ashfaq, Artificial Intelligence in Skin Cancer Detection,  University of Engineering Technology, Peshawar, Pakistan
5. Maria Luque Anguita, Explainable Machine Learning for Facial Rejuvenation Treatments with Laser
11:15BREAK
11:45KEYNOTE

Establishing a career in Human-Data Interaction

Ewa Luger, Director of Research Innovation, University of Edinburgh
12:30Networking & Lunch Break
2:00Panel Discussion

Transitioning to a career in Data Science

Moderator

Lily Battershill, AI Scientist, IESO

Panelists

Dr. Holly Tibble, Research Fellow, University of Edinburgh
Dr. Marta Vallejo, Tenure-track Research Fellow, Heriot-Watt University Edinburgh
Ifeyinwa Kanu, CEO, IntelliDigest
Steph Wright, Head of Scottish AI Alliance, Scottish AI Alliance
3:15BREAK
Lightening Talks 2
3:45Moderator

Audrey Repetti, Assistant Professor, Heriot-Watt University Edinburgh

1.  Maria Esteban Casadevall, A non-Euclidean approach to Machine Learning, Heriot-Watt University Edinburgh

2. Robin Flaig, The UK longitudinal Linkage Collaboration: a trusted research environment for the longitudinal research community, University of Edinburgh

3. Rose Penfold, Women Speakers in Healthcare: Speaking Up for Balanced Gender Representation in Healthcare and Science, University of Edinburgh

4. Ada Chiara Capuano, The importance of Data Quality in Industry Experiments and Research, Delivery Hero Gmbh

5. Nynke Halbesma, High Urea Levels are Association with Increased risk of cardiovascular disease within people with chronic kidney disease; results from UK Biobank, University of Edinburgh

6. Nida Alyas, Epileptic Seizure Detection Using EEG Signals, Northumbria University Newcastle
4:45CLOSING REMARKS

Dr. Gule Saman, Assistant Professor, Heriot-Watt University
5:00END OF SESSION