NCI Data Jamboree (Project Abstract Submission): Submission #14
Submission information
Submission Number: 14
Submission ID: 186348
Submission UUID: a7345f67-ece3-4eb8-867c-49b6dbd54582
Submission URI: /nci/datajamboree/abstractsubmission
Submission Update: /nci/datajamboree/abstractsubmission?token=NKo_y28UrZwPR0YAc7bxKpoOEXyM4J2h8N8f9wBLELA
Created: Mon, 07/13/2026 - 07:04
Completed: Mon, 07/13/2026 - 07:06
Changed: Mon, 07/13/2026 - 07:06
Remote IP address: 10.208.28.212
Submitted by: Anonymous
Language: English
Is draft: No
Webform: NCI Data Jamboree (Abstracts)
Submitted to: NCI Data Jamboree (Project Abstract Submission)
Presenter Information
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First Name: Ayman
Middle Initial: {Empty}
Last Name: Nadeem
Degree(s): MBBS
Position/Title/Career Status: Surgery Research Fellow
Organization: Glenfield Mallareddy Brain Heart Hospital
Organization Address:
Hyderabad
Email: maazayman@gmail.com
Additional Authors
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List of Additional Authors:
- First Name: -
Last Name: -
Post-nominal letters: -
Affiliation: -
Abstract Information
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Abstract Category: Employing statistical, computational, and informatics tools, algorithms, and methods to integrate or analyze data
Abstract Keywords: {Empty}
Abstract Title: Project Seeker
Abstract:
Experience and expertise
I am a Surgery Research Fellow at Glenfield Mallareddy Brain Heart Hospital, Hyderabad, focused on systematic reviews and meta-analysis in surgical oncology. My current work includes a systematic review comparing robotic-assisted and minimally invasive esophagectomy, involving ROBINS-I and RoB 2 assessment, GRADE evaluation, and pooled estimation across mixed RCT and observational evidence. I do not have formal bioinformatics training and see the jamboree as an opportunity to build that layer of skill.
Why I want to participate
Most of my work sits at the synthesis end of the evidence pipeline, evaluating what has already been generated from primary data. I want to move upstream and understand how large cancer datasets are actually accessed, harmonized, integrated, and analyzed, because that shapes the quality of everything downstream. Working alongside a senior investigator on a concrete problem using real NCI data resources is a faster way to build that understanding than reading about it in isolation.
What I hope to achieve
Hands-on familiarity with NCI data resources and cloud workspaces, including the credentialing and setup steps usually invisible from the outside. Practical exposure to statistical and informatics tools for integrating cancer data, so I can bring these methods back into my own surgical outcomes and evidence synthesis work. And interdisciplinary connections that ideally sustain into future joint work.