Dr. Singh is awarded the 2021 NHGRI Genomic Innovator Award, an early-career grant providing flexible 5-year funding to develop our lab’s research program. (article)
Camillo Saueressig presents our paper, titled “A Joint Graph and Image Convolution Network for Automatic Brain Tumor Segmentation“, at RSNA-MICCAI 2021 (BraTS Challenge) as a poster presentation.
Dr. Singh presents our lab research using graph-based neural networks at NIST (Invited Talk).
Adam Berkley presents our work on the applicability of deep learning models to clinical MRI data at the Conference on Machine Intelligence in Medical Imaging Opportunities (CMIMI 2021).
Dr. Singh is selected for the Sheridan Center Junior Faculty Teaching Fellows program at Brown.
Pinar Demetci and Rebecca Santorella present our paper, titled “Gromov-Wasserstein optimal transport to align single-cell multi-omics data.”, at the International Conference on Research in Computational Molecular Biology (RECOMB) 2021.
The lab receives 1-year funding through the NIST PREP program to develop computationally efficient deep learning models for the segmentation of neutron tomography images.
The lab receives 3-year funding through the COBRE CBHD Phase 2 Renewal grant with Dr. Singh as one of the Project Leaders.
Dr. Singh presents our paper, titled “Integrating long-range regulatory interactions to predict gene expression using graph convolutional neural networks“, at Virtual North East Regional IDeA Conference (v-NERIC) (Invited Talk).
Hossam Zaki and Thulasi Varatharajan present their summer research projects at the Brown Undergraduate Research Symposium
Thulasi Varatharajan presents her summer research on Hi-C resolution improvement methods at the 2021 Virtual Leadership Alliance National Symposium
Pinar Demetci passes her Ph.D. Qualifying Exam with flying colors and advances to candidacy. Congratulations Pinar! 🙂
Ghulam Murtaza successfully achieves the first milestone of his Ph.D – passing his CS Research Comp Proposal.
Lucas Paulo de Lima Camillo receives Leallyn B. Clapp Prize for Outstanding Senior Honors Thesis in Biochemistry.
Madeline Hughes and Hossam Zaki are awarded the UTRA fellowship for Summer ’21 to work on 3D spatial genome and single-cell related research, respectively, in the lab.
Dr. Singh presents the lab research at Providence College Math & CS colloquium (Invited Talk).
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.