June 2021. Congratulations to Bingjun and Tianyu! their paper entitled “Cancer Molecular Subtype Classification by Graph Convolutional Networks on Multi-omics Data” was accepted for publication in the ACM BCB 2021 conference.
May 2021. Congratulations to Tianyu and Jun! Tianyu received the Taylor L. Booth Graduate Fellowship (2019) that is the highest honor for doctoral students and Jun received Predoctoral Fellowship for outstanding scholars and research. accomplishment.
March 2021. Congratulations to Jun! Her paper entitled “Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review” was published in the Medical Image Analysis Journal (https://doi.org/10.1016/j.media.2021.102049).
September 2020. Congratulations to Fatima! She defended her PhD. She will join Harvard School of Public Health as a postdoctoral fellow.
August 2020. Welcome Bingjun Li! He joined our team. He is working on integrating multi comics data employing statistical deep learning models.
July 2020. Congratulations to Fatima! Her paper on employing deep learning for pancancer molecular subtype classification using histopathological images and RNAseq data has been accepted in the ACM-BCB 2020 conference.
May 2020. Congratulations to Fatima and Tianyu! They received Predoctoral Fellowship for outstanding scholars and research accomplishment.
February 2020. Congratulations to Tianyu! She defended her PhD proposal. The title of her PhD thesis is Computational Methods for Single-cell RNA Sequencing Data Analysis.
January 2020. Congratulations to Dina! She defended her PhD. She is my first PhD graduate.
December 2019. Congratulations to Fatima! she defended her PhD proposal. The title of her PhD thesis is “Developing Novel Copy Number Variation Detection Methods using Emerging Sequencing Data.”
November 2019. Tianyu presented her research on imputation methods for single cell RNA sequencing data, titled : Single-cell RNAseq Imputation Based on Matrix Completion with Side Information, at IEEE BIBM conference. I also presented our recent research on developing computational methods for analyzing single cell sequencing data as an invited talk at the IEEE BIBM conference.
September 2019. Welcome June Bai! She joined our team, working on deep learning models for biomedical image analysis and genomic data analysis.
August 2019. Congratulations to Tom! He graduated in May and joined Broad institute as a computational biologist.
June 2019. Congratulations to Dina! She defended her PhD proposal. The title of her thesis is “Deep Learning Systems for Automated Lesion Detection, Segmentation, and Classification in Mammography.”
June 2019. Congratulations to Dina and Fatima! Dina paper on residual deep learning for mass segmentation and classification in mammogram images is accepted for oral presentation at ACM-BCB 2019 conference (doi>10.1145/3307339.3342157). Fatima paper on CNV detection using Taut String is also accepted for oral presentation at the ACM-BCB 2019 conference (doi>10.1145/3307339.3342181).
May 2019. Congratulations to Dina, Fatima and Tianyu! Dina and Tianyu received Predoctoral Fellowship for outstanding scholars and research accomplishment. Fatima received Predoctoral Price for Research Excellent award for outstanding research accomplishment.
January 2019. Congratulations to Tianyu! her paper on comparative analysis of differential gene expression analysis tools for single cell sequencing data is published in BMC Bioinformatics (https://doi.org/10.1186/s12859-019-2599-6).
December 2018. We organized a workshop on Applications of Machine Learning and Signal Processing in Biomedical Informatics and Computational Genomics at IEEE BIBM 2018 conference.
October 2018. Congratulation to Dina! Her paper is accepted for oral presentation at the ICCABS 2018 conference.
October 2018. We presented our research at the Research Connections event to first year and second year students.
August 2018. Tianyu’s paper in Methods on single cell differential expression analysis has been published. (https://doi.org/10.1016/j.ymeth.2018.04.017).
June 2018. Congratulations to Tianyu! Her paper on clustering single cell data is accepted for oral presentation at the ACM-BCB 2018 conference (doi.org/10.1145/3233547.3233590).
July 2018. We presented our research to high school and middle school girls who were interested in coding.
May 2018. We mentored an undergraduate student from the Uconn McNair Scholars Program in our lab.
April 2018. Congratulations to Tianyu! Her paper on a new method for differential analysis of single cell RNA-seq data is accepted for publication in Methods.
April 2018. Congratulations to Fatima! Her paper on using total variation approach to reduce noise for CNV detection has been accepted for publication in BMC Bioinformatics(https://doi.org/10.1186/s12859-018-2332-x).
January 2018. Welcome Thomas Davis! He joined our team.
December 2017. Congratulations to Dina! Her abstract is accepted for poster presentation at the International Symposium on Biomedical Imaging Conference (ISBI’18), 2018.
October 2017. Congratulations to Fatima and Tianyu! their papers are accepted for full paper oral presentation at IEEE BIM 2017 conference.
September 2017. We presented our research to young female students who were interested in computer science and engineering at the Uconn Women in Engineering Day event.
September 2017. Congratulation to Dina! Her paper is accepted for presentation at the ICCABS 2017 workshop.
August 2017. Congratulations to Fatima! She won the best poster award at the ACM-BCB 2017 conference.
June 2017. Congratulations to Fatima and Abdelrahman! Their abstracts are accepted for poster presentation in ACM-BCB 2017 conference.
June 2017. Congratulations to Fatima! Her paper on evaluating CNV detection tools is published in BMC Bioinformatics.
May 2017. Congratulations to Nick Monteleone! He is graduated.