Dr. Singh is awarded the Richard B. Salomon Faculty Research Award for modeling single-cell datasets using deep learning methods (article).
Pinar Demetci successfully achieves the first milestone of her Ph.D. – an exploratory meeting with the committee for her Ph.D. proposal.
Dr. Singh presents the lab research at Brown DSI’s Faculty for Faculty Talk Series.
Jeremy Bigness presents our paper, titled “Integrating long-range regulatory interactions to predict gene expression using graph convolutional neural networks“, as a lightening talk at the Annual ENCODE Consortium Meeting.
Rebecca Santorella is awarded the student travel fellowship and presents our paper, titled “Gromov-Wasserstein optimal transport to align single-cell multi-omics data.”, at Computational Advances for Single-Cell Omics Data Analysis (CASCODA) Workshop.
Ishaani Khatri is awarded the UTRA fellowship for Spring ’21 to work on developing data-driven methods for predicting intracranial hypertension in neonatal patients from MRI scans.
Pinar Demetci presents our paper, titled “Gromov-Wasserstein optimal transport to align single-cell multi-omics data.”, at Machine Learning in Computational Biology (MLCB) 2020. (15% acceptance for oral presentations)
Jeremy Bigness passes his Ph.D. Qualifying Exam with flying colors and advances to candidacy. Congratulations Jeremy! 🙂
Camillo Saueressig presents our paper, titled “Exploring graph-based neural networks for automatic brain tumor segmentation“, at DataMod 2020.
Dr. Singh participates in the “Multidisciplinary Approaches to Computer Science Research” panel for Brown’s hack@home event.
Dr. Singh presents our paper, titled “Unsupervised manifold alignment for single-cell multi-omics data” at the ACM-BCB 2020.
Dr. Singh gets featured in the Brown University Graduate Women/Womxn in STEM’s campaign #thisiswhatascientistlookslike. (read full interview here)
Pinar Demetci and Rebecca Santorella present our paper, titled “Gromov-Wasserstein optimal transport to align single-cell multi-omics data.”, as spotlight talks and posters at ISMB MLCSB 2020 and ICML Workshop on Computational Biology (ICML WCB) 2020.
Pinar receives a fellowship award at ICML WCB and Rebecca wins the Best Poster Presentation Award.
Dr. Singh co-organizes the first ever Brown Unconference, a Brown-only virtual conference on machine learning and data science to foster collaboration across different application domains.
The lab has a strong presence at the Brown Unconference with student presentations from Adam Berkley, Camillo Saueressig, Jeremy Bigness, Pinar Demetci, and Shalin Patel.
Lucas Paulo de Lima Camillo receives the SPRINT award for Summer ’20 to investigate the role of methylation in ageing using machine learning.
Jeremy Bigness successfully achieves the first milestone of his Ph.D. – an exploratory meeting with the committee for his proposal.
The lab is awarded the Brown COVID-19 Seed Award with Dr. Singh as a Co-PI (article).
Sally Zhi is awarded the UTRA fellowship for Summer ’20 to work on integrating clinical datasets for Glioblastoma.
Our lab is awarded the COBRE CBHD Institutional Pilot Award for investigating long-range genomic regulation using deep learning models.
The lab joins the ENCODE Consortium as an affiliate member.