Tudorita Zaharia

MSc. Artificial Intelligence in Medicine, University of Bern.

Bern, Switzerland

About Me

Projects

Project 3

Encoder-Decoder architecture for generating captions

Technologies used: Dinov2, Transformers, PyTorch, Wandb.

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Project 3

Quantized INT8 method for LegalBert inference

Technologies used are PyTorch, Transformers,BitNet, BERT, HuggingFace, Wandb.

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Project 3

Named-Entity Recognition for Custom Labels

Technologies used are Spacy, NLTK, BERT, GPT, Label-Studio, Wandb, HuggingFace.

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Project 1

Subpopulation and Feature Detection

Given a clinical dataset with bladder cancer patients, we identify 7 subpopulations. We infer from proteomics and metadata, the most informative features.

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Project 1

K-Means Clustering

Pancreatic Cancer Risk Genes simulated dataset using R Studio and additional plots for GWAS study plots.

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Project 3

Preoperative Planning

We apply pivot calibration, Region-Growing segmentation with seed, Point Cloud Registration and U-NET segmentation deep learning for reference.

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Project 2

Bulldozer Neural Radial Field

Based on NERF paper, we reconstruct the point cloud from views of complex scenes using 5D coordinates.

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Project 1

Deep Q-Learning and REINFORCE

Reinforcement Learning algorithms for model-free control of cart pole in openai gym.

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