Aliza Islam, pursuing a master’s degree in Bioinformatics, received the Indiana Science Policy Education and Career Training (INSPECT) Fellowship for the summer of 2024.
For additional information regarding the fellowship, please visit: https://graduate.iupui.edu/admissions/financial-support/fellowships-awards/inspect.html
Category: News
Contribution to the National Academies 2024 report
Dr. Sarath Chandra Janga’s work in the National Academies of Sciences, Engineering, and Medicine is featured in the 2024 consensus report, Charting a Future for Sequencing RNA and Its Modifications: A New Era for Biology and Medicine.
You can view the report via the following link: https://www.nationalacademies.org/our-work/toward-sequencing-and-mapping-of-rna-modifications
Lab Member Among IUPUI’s Elite 50 Graduate Students
Rohini Vemparala, a former member of the Janga Lab who has recently earned a Master’s degree in Health Informatics, has been honored as one of IUPUI’s Elite 50 graduate and professional students for the 2024 year. This honor recognizes individuals who excel beyond academic achievements, highlighting their leadership on campus, impressive scholarly contributions, and active engagement in community initiatives. Being selected for the Elite 50 reflects Rohini’s commitment and the substantial impact she has made through her work and service. We extend our sincere congratulations on this well-deserved honor!
Lab Member Among IUPUI’s Top 100 Undergraduates
Sahiti Somalraju, currently a senior majoring Biomedical Informatics, has been named one of IUPUI’s Top 100 undergraduate students. This recognition is awarded to students who exhibit achievements in three key areas: academic excellence, campus leadership, and community engagement. Sahiti’s selection into this distinguished group reflects her hard work, dedication, and positive influence within the Janga lab and the broader community. We are incredibly proud of her achievement and look forward to witnessing her future endeavors and successes.
Lab member receives Luddy Scholarships
Sahiti Somalraju, an undergraduate in Biomedical Informatics, received the “Make Your Mark” and “Dean’s Advisory Council Senior” scholarships from Luddy School of Informatics, Computing, and Engineering. She is among the 22 recipients.
For more information about the scholarships offered through Luddy, click on the following link: https://luddy.iupui.edu/cost-financial-aid/undergraduate-scholarships.html
‘DataWiz-IN Scholars Program for Biomedical Informatics’ Grant received from NLM
Dr. Sarath Janga as a PI received an R25 biomedical informatics training grant from National Library of Medicine (NLM), National Institutes of Health and is among the 12 institutions funded via this program for developing diverse biomedical informatics and data science training programs. The NLM will issue the grants on an annual basis, for five years. The goal of the investment is to develop programs that prepare the next generation of diverse students for biomedical informatics and data science graduate studies and research careers.
More information: https://www.nlm.nih.gov/news/NLM_Invests_8_Million_To_Develop_Diverse_Biomedical_Informatics_Data_Science_Training_Programs.html
Lab student among Elite 50 of IUPUI
Grant for research on diabetic retinopathy
Janga lab received $25K pilot AI grant from IUPUI AI institute to further research on ‘Clinically interpretable image-based deep learning models for detecting diabetic retinopathy’
Indo-U.S. Virtual Networks for COVID-19
Dr. Janga’s lab received the Indo-US covid19 grant to support the joint work with Rajesh Pandey from CSIR-Institute of Genomics and Integrative Biology. The full announcement is available from https://covid19.iusstf.
Lilly Research Award Program (LRAP)
Janga’s team from the BioHealth Informatics Department at the IU School of Informatics and Computing at IUPUI received a Lilly Research Award Program (LRAP) award in collaboration with scientists at Eli Lilly and Company. The research team will characterize RNA-protein interactions in primary tissues, enabling the identification of potential RNA drug targets in NASH and liver disease models.
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