PhD Candidate at University of Michigan, United States.
Mahnoor Naseer Gondal is a dedicated bioinformatics researcher specializing in single-cell transcriptomics and cancer immunotherapy. Pursuing her Ph.D. at the University of Michigan 🏛️, she works under the mentorship of Dr. Arul Chinnaiyan and Dr. Marcin Cieslik. With a strong academic background from LUMS 🎓 and numerous high-impact publications in journals like Nature, Cancer Discovery, and PNAS 📄, she is shaping the future of precision oncology. Passionate about computational biology, immune-oncology, and translational medicine 🧑🔬, she strives to integrate cutting-edge bioinformatics tools to advance personalized cancer treatment.
Professional Profile:
ORCID
Google Scholar
Suitability for Best Researcher Award
Mahnoor Naseer Gondal is a highly qualified candidate for the Best Researcher Award, given her exceptional contributions to the field of bioinformatics, cancer immunotherapy, and single-cell transcriptomics. Her research focuses on precision oncology, leveraging computational biology and AI to improve personalized cancer treatments.
Education & Experience 🎓🔬
✅ Ph.D. (Bioinformatics) – University of Michigan, USA (2021–Present)
📌 MS (Bioinformatics) – University of Michigan, USA (2021–2023)
📌 B.S. (Biology) – Lahore University of Management Sciences (LUMS), Pakistan (2016–2020)
👩🔬 Research Experience
🔹 Works on cancer immunotherapy, single-cell RNA sequencing, and tumor microenvironment analysis 🏥
🔹 Published in top-tier journals like Nature, Cancer Discovery, and Scientific Reports 📄
🔹 Contributor to cancer database integration and precision medicine models 🖥️
Professional Development 🌍📚
Mahnoor actively engages in scientific conferences, including AACR (American Association for Cancer Research) 🏅 and Frontiers in Bioinformatics. She has collaborated with leading cancer research labs to develop novel bioinformatics models and enhance therapeutic strategies for immune checkpoint blockade and tumor microenvironment analysis 🧑⚕️. She is also mentoring young researchers in computational biology while participating in global workshops on machine learning, data science, and translational medicine. With a passion for bridging biology and AI 🤖, she continues to drive biomedical advancements for precision oncology.
Research Focus 🧬🔍
Mahnoor’s research primarily revolves around cancer systems biology, single-cell transcriptomics, and immune-oncology. Her expertise includes:
🔬 Single-cell RNA sequencing to study tumor heterogeneity and immune resistance 🧑⚕️
🧪 Non-coding RNA mechanisms in colorectal cancer for better therapeutic targeting
🖥️ Integration of cancer datasets to enhance personalized treatment approaches
🦠 Immunotherapy resistance mechanisms to develop more effective cancer treatments
⚕️ Computational modeling of cancer for identifying new biomarkers and drug targets
Awards & Honors 🏆🎖️
🏅 Best Research Paper Award – Frontiers in Oncology (2021)
📜 AACR Research Recognition Award – American Association for Cancer Research (2024)
🏆 Outstanding Graduate Researcher Award – University of Michigan (2023)
🔬 Special Issue Publication Recognition – Featured in high-impact oncology journals
🌍 Invited Speaker at AACR, Cancer Research Conferences, and Bioinformatics Summits
Publication Top Notes
-
Title: A Systematic Overview of Single-Cell Transcriptomics Databases, their Use Cases, and Limitations
- Authors: MN Gondal, SUR Shah, AM Chinnaiyan, M Cieslik
- Citations: 43
- Year: 2024
-
Title: Navigating multi-scale cancer systems biology towards model-driven clinical oncology and its applications in personalized therapeutics
- Authors: MN Gondal, SU Chaudhary
- Citations: 37
- Year: 2021
-
Title: A personalized therapeutics approach using an in silico Drosophila patient model reveals optimal chemo-and targeted therapy combinations for colorectal cancer
- Authors: MN Gondal, RN Butt, OS Shah, MU Sultan, G Mustafa, Z Nasir
- Citations: 29
- Year: 2021
-
Title: A cyanobacterial photorespiratory bypass model to enhance photosynthesis by rerouting photorespiratory pathway in C3 plants
- Authors: G Khurshid, AZ Abbassi, MF Khalid, MN Gondal, TA Naqvi, MM Shah
- Citations: 27
- Year: 2020
-
Title: TISON: a next-generation multi-scale modeling theatre for in silico systems biology
- Authors: MN Gondal, MU Sultan, A Arif, A Rehman, HA Awan, Z Arshad
- Citations: 23
- Year: 2021