Youngbin Kim Email & Phone Number

New York, United States

ML engineer working on clinical NLP and LLMs

New York, New York, United States

– Spearheaded the development of an advanced deep learning model for enhancing bioluminescent images in small animal imaging, resulting in significant improvements in image quality and analysis efficiency.

Greater New York City Area

– Spearheaded the development of deep learning architectures (CNN, transformers, RNN, LSTM) for cardiac drug screening and disease modeling using PyTorch and Tensorflow on Python.– Led a team of developers, biologists, and engineers to develop BeatProfiler, a cardiac functional video analysis software.– Applied deep learning driven high throughput phenotypic drug screens to identify potential therapeutics to ameliorate diseased cardiac fibroblasts using convolutional neural networks such as ResNet, VGG.– Conducted single cell sequencing analysis in R, Python, and MATLAB to quantify the effects of cosmic radiation on human tissue models, contributing to a broader understanding of space travel’s health implications.– Co-authored six peer-reviewed articles with five additional manuscripts in preparation through technical collaborations.

South San Francisco, California, United States

– Developed deep learning language models (transformers, LSTM, BERT, feature ML) and multimodal deep learning models, harnessing patient imaging, clinical, and speech data from clinical trials, identifying novel Alzheimer’s speech markers and enhancing Alzheimer’s clinical score prognoses.

Berkeley, Ca

– Engineered and microfabricated microfluidic devices for cell imaging under mechanical stress.– Characterized mechanical viscoelastic properties of benign and malignant breast epithelial cancer cells, leading to a peer-reviewed publication.– Investigated the effects of cell cycle on viscoelastic properties of breast cancer cells

Greater New York City Area

– Developed machine learning classification models (SVM, decision trees) for genetic cardiac diseases.– Amgen Scholar Summer 2018 at Columbia University in the Laboratory for Stem Cells and Tissue Engineering led by Professor Gordana Vunjak-Novakovic

– Developed a biosensor based on phage engineered materials

Doctor Of Philosophy - Phd, Biomedical Engineering

Graduate Student/Researcher at Dr. Gordana Vunjak-Novakovic's stem cell and tissue engineering lab

Master Of Science - Ms, Biomedical Engineering

Bioengineering, Minor: Electrical Engineering And Computer Science

Education record