Machine Learning based prediction of noncentrosymmetric crystal materials

Yuqi Song, Joseph Lindsay, Yong Zhao, Alireza Nasiri, Steph-Yves Louis, Jie Ling, Ming Hu, Jianjun Hu

Machine Learning Models Based on Histological Images from Healthy Donors Identify ImageQTLs and Predict Chronological Age

Ran Meng, William Zhu, Christopher JF Cameron, Pengyu Ni, Xiao Zhou, Tselmeg Ulammandakh, Mark B Gerstein

Machine learning optimization of candidate antibody yields highly diverse sub-nanomolar affinity antibody libraries

Lin Li, Esther Gupta, John Spaeth, Leslie Shing, Rafael Jaimes, Emily Engelhart, Randolph Lopez, Rajmonda S. Caceres, Tristan Bepler, Matthew E. Walsh

Machine Learning Optimization of Candidate Antibodies Yields Highly Diverse Sub-nanomolar Affinity Antibody Libraries

Lin Li, Esther Gupta, John Spaeth, Leslie Shing, Rafael Jaimes, Rajmonda Sulo Caceres, Tristan Bepler, Matthew E. Walsh

Gabriel Meyer-Lee

Bongjin Koo

Jiayi Shou

Alireza Nasiri

Darnell Granberry

Christopher JF Cameron

I am a computational biologist working at the New York Structural Biology Center (New York, NY, USA). My postdoctoral work was focused on integrating prior information into cryogenic electron microscopy (cryo-EM) image processing and supervised by Profs. Mark B Gerstein and Hemant D Tagare at Yale University (New Haven, CT, USA). Under the supervision of Profs. Mathieu Blanchette and Josée Dostie at McGill University (Montréal, QC, CAN), I obtained a PhD in Computer Science with a concentration in bioinformatics (2019). My PhD dissertation focused on high-resolution bioinformatics approaches, statistical modeling and machine learning in 3D regulatory genomics – in particular, data obtained from chromosome conformation capture and chromatin immunoprecipitation.If you are interested in collaborating, please contact me as I am always happy to talk science.