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43 followers · 42 following

Achievements

Achievement: QuickdrawAchievement: StarstruckAchievement: YOLOAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

Achievements

Achievement: QuickdrawAchievement: StarstruckAchievement: YOLOAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

Organizations

@doctor-home

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fanconic/README.md

Hi there 👋

I am Claudio, a PhD student in Machine Learning and AI in medicine at the University of Cambridge. Previously, I graduated from ETH Zurich (Swiss Federal Institute of Technology) in Information Technology and Electrical Engineering (EEIT). I have a strong interest in data science, computer vision and machine learning.

I interned as a research scientist at Sony AI, a machine learning engineer at IBM, and a management consultant/data scientist at McKinsey & Company.

Technologies and Tools

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  1. luchris429/DiscoPOP luchris429/DiscoPOP Public

    Code for Discovering Preference Optimization Algorithms with and for Large Language Models

    Python 51 29

  2. this-does-not-look-like-that this-does-not-look-like-that Public

    Code for the experiments of the ICML 2021 Interpretability workshop paper "This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks"

    Jupyter Notebook 17 5

  3. this_reads_like_that this_reads_like_that Public

    This is the code for the EMNLP 2023 publication: "This Reads Like That: Deep Learning for Interpretable Natural Language Processing"

    Python 5

  4. dermAI dermAI Public

    Prototype for skin cancer detection app in Java, with Flask backend

    Java 7 1

  5. su-boussard-lab/acu-uncertainty-estimation su-boussard-lab/acu-uncertainty-estimation Public

    A Bayesian approach to predictive uncertainty in chemotherapy patients at risk of acute care utilization

    Python 1

  6. su-boussard-lab/nlp-for-acu su-boussard-lab/nlp-for-acu Public

    Code for the NLP experiments of the AMIA 2023 Informatics Summit paper: "Natural Language Processing Methods to Identify Oncology Patients at High Risk for Acute Care with Clinical Notes"

    Python 1 1