Uttam Kumar

Computer science

Hometown: Samastipur, Bihar, India

Graduation date: Spring 2025

Health icon, disabled. A red heart with a cardiac rhythm running through it.

MORE | Spring 2024

Towards Automated Selection of Embedding Models: Identifying the Optimal Parameters for the Baseline Model for TCR Embedding

Analyzing T cell receptor (TCR)-epitope interactions is crucial for identifying therapeutic targets for diseases. TCR clustering illuminates the landscape of clonal expansion, offering potential targets for intervention. Additionally, TCR-epitope binding affinity prediction is instrumental in screening cognate TCRs for combating harmful antigens. Recent advancements, particularly catELMo, have emphasized the significance of effective embeddings in enhancing TCR-related tasks. Despite catELMo’s success, the underlying mechanisms remain elusive. This proposal outlines a large-scale comparative study on TCR embeddings, focusing on optimizing parameters for catELMo, such as learning rate, batch size, and training epochs. Notably, the current leading embedding model, based on bidirectional Long Short-Term Memory (biLSTM), outperforms transformer-based models in prediction tasks. To understand why catELMo performs well, we carry out a large-scale comparative study on TCR embeddings. Because the scale of the entire study is large, the focus will be research on finding the optimal parameters for the baseline model.

Mentor:

QR code for the current page

It’s hip to be square.

Students presenting projects at the Fulton Forge Student Research Expo are encouraged to download this personal QR code and include it within your poster. This allows expo attendees to explore more about your project and about you in the future. 

Right click the image to save it to your computer.