Elliot Epstein Email & Phone Number

Seattle, Washington, United States

Gemini

Sunnyvale, California, United States

Sunnyvale, California, United States

Worked on an LLM based chatbot.

Stanford, California, United States

Rotation in Prof. Chris Re's lab at the Stanford Artificial Intelligence Laboratory, working on foundation models for time series data.

Stanford, California, United States

Stanford, California, United States

Topics covered: Supervised learning (deep learning), unsupervised learning, reinforcement learning, learning theory.

Stanford, California, United States

Machine learning in Prof. Eric Darve's lab

London, United Kingdom

• Developed a deep learning model to differentiate benign from malignant ovarian tumours using Python with TensorFlow. The model achieved a sensitivity of 95% and a specificity of 92% in cases where 12% of the images were regarded as difficult to classify (an expert ultrasound examiner exhibited a sensitivity of 92% and a specificity of 83% with regard to the same set of patients)• Co-author of the article “Ultrasound Image Analysis Using Deep Neural Networks to Discriminate Benign and Malignant Ovarian Tumours – A Comparison to Subjective Expert Assessment”, which has been accepted by the journal Ultrasound in Obstetrics & Gynecology (impact factor: 5.595)• Study Coordinator and member of the Steering Committee for a large validation study (20 ultrasound centres worldwide) to evaluate the generalizability of the deep learning model

Doctor Of Philosophy - Phd, Compuational And Mathematical Engineering

Master Of Science - Ms, Computational And Mathematical Engineering, 4.18/4.00

Passed all ICME PhD qualifying exams: Numerical Linear Algebra, Optimization, Discrete Math and Algorithms, Stochastic Methods.

Msc, Mathematical And Computational Finance

Relevant modules: Stochastic Calculus, Financial Derivatives, Statistics and Financial Data Analysis, Numerical Methods, Financial.

Exchange Student, Department Of Mathematics, Mathematics

Bachelor's Thesis (ETH): “A Review of the Article Gradient Descent Provably Optimizes Over-parametrized Neural Networks by Du et al.”.

Bachelor Of Science, Business Administration

Modules taken parallel to my studies at KTH. Modules: Finance, Accounting, Marketing, Management.

Bachelor Of Science, Engineering Physics, 4.94/5.00

Activities and Societies: President of the Sports Association at the Physics Student Association.The most comprehensive engineering.

Summer Project In Machine Learning

Project title: “Semantic Image Segmentation Based on Deep Learning”