Research Scientist and Team Lead with expertise in bioinformatics, genome editing, and machine learning. Led teams in developing innovative solutions for genomic research.
I'm a research scientist and team lead specializing in bioinformatics, with extensive experience in genome editing, machine learning, and large-scale biological data analysis. I led initiatives that contributed to significant company growth and patent development.
Led discovery of 100+ novel gene editing systems and developed efficiency prediction models
Built CNN models, LLMs with RAG systems, and advanced data mining algorithms
Led bioinformatics teams and managed projects contributing to significant company growth and patent development
Detects mammalian genome repeats using advanced bioinformatics algorithms for genomic sequence analysis and repeat identification.
Optimize sous vide cooking time using thermodynamic algorithms to significantly shorten cooking times without overcooking.
Efficiently split bills with minimal transactions using algorithms to minimize the number of transactions during bill splitting.
In-house Laboratory Information Management System with AWS S3 integration for multimodal data management and visualization.
CNN-based deep learning model to predict genome editing efficiency, reducing manual testing and accelerating research.
Custom LLM built with Ollama base model and JSON-based RAG system for confidential in-house biological queries.
Nature Biomedical Engineering
American Society of Gene & Cell Therapy (Abstract)
Nature Scientific Reports
Gastroenterology, Digestive Disease Week (Top 10%)
PCT/CN2023/122228
Novel Endonuclease, Integrase, and CRISPR-cas systems
Top 10% - Selected for press program
Ranked 7/8 in competitive programming
Sheffield 2018 - Innovation Award
University of Sheffield 2018-2019
I'm always interested in discussing new opportunities, collaborations, or just talking about bioinformatics!
linkedin.com/in/lawrence-ip
github.com/lawrence-ip
0000-0002-4257-2758