Yonatan Jenudi Md, B.Sc Email & Phone Number

Tel Aviv-Yafo, Il

Herzliyya, Tel Aviv, Israel

• Developed an ML-based decision support platform for detecting and classifying autoimmune diseases• Enhanced the alignment of the BERT large language model (LLM) with our unique dataset through meticulous fine-tuning, optimizing its performance for a specialized task and yielding significant improvements in project outcomes• Invented two patents:o Method for reducing dependency of non-discrete laboratory measurements results on personal parameterso Method for normalizing health related events count variables• Developed an innovative evaluation tool for Large Language Models (LLM), capable of autonomously determining the optimal LLM selection and prompt utilization for enhanced efficiency• Proficient in managing and analyzing diverse Electronic Medical Records (EMR) sources, including those from Mayo Clinic, Hoag Hospital, Maccabi Healthcare Services, and extensive claims data• Created and maintained end-to-end ML models pipelines on both structured data and unstructured data• Proficient in ML packages like Pandas, Numpy, Scikit-Learn, PyTorch, Hugging face, and more• Used and developed a variety of ML models: Neural Networks, Tree-based models, Logistic Regression, Embedding models, and Genetic Algorithms• Combined my clinical knowledge and ML algorithms to pick a minimized feature set and assess the explainability of the models• Aided the medical directors in defining ground truth regarding health/ill populations and features that help the models• Helped the medical team to write and publish papers

Israel

• Planed and built from scratch a facial recognition biometric system – responsible was mainly on the ML/DL model• Processed, adjusted, and trained images dataset on a CNN model in which our system used to recognize faces• Optimized the model to achieve best results• Created a MongoDB database and linked it to the model• Project’s GitHub: https://github.com/jenudi/Facial_Recognition_Biometric_System

Data analysis using R in the medical domain

Central, Israel

• Rotated in the following departments: Emergency, Internal Medicine, Surgery, Pediatrics, Anesthesia, Urology, and Ophthalmology • Finished with Excellency in 6 rotations• Worked with doctors from different modalities to solve clinical problems and optimize medical treatment plan resulting in better health outcomes• Lectured at departments meetings on updated journal articles

• Prepared reviewed and analyzed medical data during the project• Supervised research activities and provided support to team members• Final thesis score: 90• PUBLICATION: Weingarten, C., Jenudi, Y., Tshuva, R. Y., Moskovich, D., Alfandari, A., Hercbergs, A., Ashur-Fabian, O. (2017). The Interplay Between Epithelial-Mesenchymal Transition (EMT) and the Thyroid Hormones-αvβ3 Axis in Ovarian Cancer. Hormones and Cancer, 9(1), 22-32. doi:10.1007/s12672-017-0316-3

• Lectured students in the fields of Mathematics and Israeli SAT exams (psychometric)• Worked with students in small groups and one-on-one setting to help improve test scores

Bachelor Of Science, Computer Science For High-Tech, Faculty Of Engineering

• Relevant courses taken and programming languages: Python, Machine Learning, Deep Learning in Natural Language Processing (Pytorch).

Doctor Of Medicine - Md, Medicine