Davide Placido
Data Scientist, Biomedical/Bioinformatics Engineer

About

With my BSc and MSc degrees in biomedical engineering complimented by my recent PhD in Bioinformatics and Biostatistics, I believe my profile is a very good fit for the role as Post-doc/Data Scientist in Healthcare Data Predictive Modelling at Novo Nordisk. During my last 4 years of research experience I have worked on predictive models using real world data (electronic health records and Danish registries) resulting in numerous published tools and research articles. This allowed me to develop the technical skills required for this job, including developing and validating ML models across multiple healthcare systems, applying survival analysis in non conventional models, and developing viable, secure, and maintainable software solutions. While my background could be applicable to numerous data science jobs, my passion for healthcare has kept my focus within health-related industries, especially at Novo where there are so many applicable areas that pique my interest. My research experiences and internal/international collaboration efforts have additionally cultivated my problem-solving skills when developing wide-serving complex data science solutions. These skills in addition to my strong technical background and project team experiences have prepared me well to be an effective communicator. I believe I fulfil the requirements as listed within the job advert and look forward to the opportunity to present myself in person to discuss my potential contributions further.

Work Experience

Copenhagen, Denmark
February 2024 – Present
Data Scientist
I am currently working on data standardisation and development of predicting models to inform trials in the intensive care
Copenhagen, Denmark
https://www.cpr.ku.dk/staff/?pure=en/persons/641347
February 2023 – January 2024
Postdoctoral researcher
Building on previous work, I worked on the development of DL models for cancer detection and the integration of new data modalities.
Copenhagen, Denmark
https://www.cpr.ku.dk/staff/?pure=en/persons/641347
April 2019 – January 2023
Research assistant and PhD
In this period I conducted research at the Novo Nordisk Center for Protein Research. I have been actively working on various projects encompassing machine learning applications on diverse and unique datasets, including registries, electronic health records and medical images. Notably, I worked on the development of models for early detection of pancreatic cancer using patients' disease history from the Danish registries. I also worked on the development of a decision support tool for detecting clinical deterioration using EHR collected in the general depertments. Other projects involved survival analysis in the ICU and pharmacovigilance using NLP techniques.
Boston, USA
January 2022 – July 2022
Visiting researcher
This experience was part of the change of research environment of my PhD. In this period I visited Chris Sander's lab in Boston, continuing working on pancreatic cancer prediction. In particular, the aim of my visit was testing the generalizability of the model trained on the Danish data on a US dataset. To accomplish this, I had to deploy the ML model on a new cloud, Google cloud platform, and develop a new pipeline for the data preprocessing.
Copenhagen, Denmark
September 2018 – February 2019
Research master student
This research project was part of my master thesis. In this period my task was to try improving current mortality risk models in the intensive care unit (ICU). In particular, I worked on time-series collected by monitors in the ICU to enhance an LSTM model using hand-crafted features from high-frequency data.

Contact

Copenhagen, Capital Region 2100 Denmark
https://daplaci.github.io
Linkedin
davide-placido-6a2419158
GitHub
daplaci

Education

Skills

Machine learning Advanced
Pytorch Keras Scikit-learn Numpy Pandas Google Colab Transformers
Programming AdvancedIntermediateBasic
Data management Advanced
Snakemake PostgresSQL duckDB BigQuery Json Git
Cloud Intermediate
GCP AWS On-premise
DevOps Intermediate
Github actions Docker CI/CD

Publications

A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories
Nature Medicine
08 May 2023
https://www.nature.com/articles/s41591-023-02332-5

Placido D, Yuan B, Hjaltelin JX, Zheng C, ..., Brunak S, Sander C

Development of a dynamic prediction model for unplanned ICU admission and mortality in hospitalized patients
PLOS digital health
09 June 2023
https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0000116

Placido D, Thorsen-Meyer H-C, Kaas-Hansen BS, Reguant R, Brunak S.

Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data
Nature digitial medicine
14 September 2022
https://www.nature.com/articles/s41746-022-00679-6

Thorsen-Meyer HC, Placido D, Kaas-Hansen B.S, Nielsen AP, .. Perner A, Brunak S

Language-agnostic pharmacovigilant text mining to elicit side effects from clinical notes and hospital medication records
Basic and Clinical Pharmacology and Toxicology
14 July 2022
https://onlinelibrary.wiley.com/doi/10.1111/bcpt.13773

Benjamin Skov Kaas‐Hansen, Davide Placido, Cristina Leal Rodríguez, ..., Stig Ejdrup Andersen