Jessica Delmoral

Jessica Delmoral

Data Scientist

Based in Portugal

Biography

I am a Data Scientist who loves both the Academic and Industry worlds of applied Analytics. On the academic world, I am currently working at the intersection between AI and medical image diagnostic algorithms. On the industry world, have worked with Big Data algorithm engines, marketing optimization, A/B testing, aiding in the design and experimentation of AI-aided industries.

Interests
  • Artificial Intelligence
  • Generative AI
  • Semantic Segmentation
  • Uncertainty Estimation
Education

  • PhD in Artificial Intelligence, 2024

    University of Porto, Engineering School

  • Integrated Masters in Biomedical Engineering, 2015

    University of Porto, Engineering School

Skills

Classical Machine Learning

anomaly detection, time-series forecasting, tabular data classification

Generative and Transformers-based algorithms

Generative models, vision transformer models

Image processing for ML application

Image manipulation, Open-CV, filtering

Statistical analysis and experimentation

population statistical testing, A/B testing

Data visualization

Data/KPI monitoring solutions, dashboards

Scrum

Work in Agile framework

Projects

*
All Deep Learning Other
Deep neural networks for medical image segmentation [PhD]
Using transformers and generative models to improve segmentation algorithms for liver cancer diagnosis
Slides
Deep neural networks for medical image segmentation [PhD]
Vision picking - AI enabled object detection
Using YOLO model incorporated in a wearable device for real-time warehouse operators
Vision picking - AI enabled object detection
EEG-based study of the human brain when performing open creative vs. constrained tasks
Signal processing of EEG data, and statstical analysis and identification of brain regional activations
EEG-based study of the human brain when performing open creative vs. constrained tasks

Recent Posts

TBD
TBD
Last updated on Nov 20, 2023 1 min read
TBD

Publications

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Sonia Vieira, John S Gero, Jessica Delmoral, Shumin Li, Gaetano Cascini, António Fernandes (2020). Brain activity in constrained and open design spaces: An EEG study. The Sixth International Conference on Design Creativity-ICDC2020.

Cite

Sonia Vieira, John S Gero, Jessica Delmoral, Valentin Gattol, Carlos Fernandes, Marco Parente, António A Fernandes (2020). The neurophysiological activations of mechanical engineers and industrial designers while designing and problem-solving. Design Science.

Cite

Jessica C. Delmoral, Durval C. Costa, Diogo Borges, João Manuel R.S. Tavares (2019). Segmentation of pathological liver tissue with Dilated Fully Convolutional Networks: A Preliminary Study. 6th IEEE Portuguese Meeting on Bioengineering, ENBENG 2019 - Proceedings.

Cite DOI

Sonia Liliana da Silva Vieira, John S. Gero, Jessica Delmoral, Valentin Gattol, Carlos Fernandes, António A. Fernandes (2019). Comparing the Design Neurocognition of Mechanical Engineers and Architects: A Study of the Effect of Designer’s Domain. Proceedings of the Design Society: International Conference on Engineering Design.

Cite DOI

Jessica C Delmoral, Diogo Faria, Durval C Costa, João Manuel RS Tavares (2019). Liver tumour segmentation with convolutional neural networks. CMBBE2019-16th International Symposium Computer Methods in Biomechanics and Biomedical Engineering and 4th Conference on Imaging and Visualization.

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Popular Topics

EEG Generative architectures Mobile app Object detection Signal filtering and denoising Signal processing Smart glass Statistical analysis Transformer-based CNN architectures Uncertainty guided segmentation YOLO