Broadly, my interests lie in the areas of systems biology, bioinformatics, and computational modeling focused on cancer therapy and drug discovery.
[J9]: Ana M Aparicio, Rebecca SS Tidwell, Shalini S Yadav, Jiun-Sheng Chen, Miao Zhang, Jingjing Liu, Shuai Guo, Patrick G Pilié, Yao Yu, Xingzhi Song, Haswanth Vundavilli, Sonali Jindal, Keyi Zhu, Paul V Viscuse, Justin M Lebenthal, Andrew W Hahn, Rama Soundararajan, Paul G Corn, Amado Zurita-Saavedra, Sumit K Subudhi, Jianhua Zhang, Wenyi Wang, Chad Huff, Patricia Troncoso, James P Allison, Padmanee Sharma, and Christopher J Logothetis. “A modular trial of androgen signaling inhibitor combinations testing a risk-adapted strategy in patients with metastatic castration-resistant prostate cancer.” Clinical Cancer Research 30, no. 13 (2024): 2751-2763. DOI: 10.1158/1078-0432.CCR-23-3740. (Impact factor: 10.0)
(Interesting fact: James P Allison won the 2018 Nobel Prize winner in Medicine, which he shared with Dr. Tasuku Honjo)
[J8]: Aditya Lahiri, Haswanth Vundavilli, Madhurima Mondal, Pranabesh Bhattacharjee, Brian Decker, Giuseppe Del Priore, N. Peter Reeves, and Aniruddha Datta. “Drug Target Identification in Triple Negative Breast Cancer Stem Cell Pathways: a computational study of gene regulatory pathways using Boolean networks.” IEEE Access 11 (2023): 56672-56690. DOI: 10.1109/ACCESS.2023.3283291. (Impact factor: 3.9)
[J7]: Saransh Gupta*, Haswanth Vundavilli*, Aniruddha Datta, Kenji Mizuguchi, and Lokesh P. Tripathi. “Integrative Network Modeling Highlights the Crucial Roles of Rho-GDI Signaling Pathway in the Progression of non-Small Cell Lung Cancer.” IEEE Journal of Biomedical and Health Informatics 26, no. 9 (2022): 4785-4793 (*equal contribution). DOI: 10.1109/JBHI.2022.3190038. (Impact factor: 7.7)
[J6]: Haswanth Vundavilli, Aniruddha Datta, Chao Sima, Jianping Hua, Rosana Lopes, Michael Bittner, Tasha Miller, and Heather M. Wilson-Robles. “Anti-tumour effects of cryptotanshinone (C19H20O3) in human osteosarcoma cell lines.” Biomedicine & Pharmacotherapy 150 (2022): 112993. DOI: 10.1016/j.biopha.2022.112993. (Impact factor: 7.5)
[J5]: Haswanth Vundavilli, Lokesh P. Tripathi, Aniruddha Datta, and Kenji Mizuguchi. “Network modeling and inference of peroxisome proliferator-activated receptor pathway in high fat diet-linked obesity.” Journal of Theoretical Biology 519 (2021): 110647. DOI: 10.1016/j.jtbi.2021.110647. (Impact factor: 2.0)
[J4]: Haswanth Vundavilli, Aniruddha Datta, Chao Sima, Jianping Hua, Rosana Lopes, and Michael Bittner. “Targeting oncogenic mutations in colorectal cancer using cryptotanshinone.” PloS one 16, no. 2 (2021): e0247190. DOI: 10.1371/journal.pone.0247190. (Impact factor: 3.7)
[J3]: Haswanth Vundavilli, Aniruddha Datta, Chao Sima, Jianping Hua, Rosana Lopes, and Michael Bittner. “Cryptotanshinone induces cell death in lung cancer by targeting aberrant feedback loops.” IEEE Journal of Biomedical and Health Informatics 24, no. 8 (2019): 2430-2438. DOI: 10.1109/JBHI.2019.2958042. (Impact factor: 7.7)
[J2]: Haswanth Vundavilli, Aniruddha Datta, Chao Sima, Jianping Hua, Rosana Lopes, and Michael Bittner. “In silico design and experimental validation of combination therapy for pancreatic cancer.” IEEE/ACM Transactions on Computational Biology and Bioinformatics 17, no. 3 (2018): 1010-1018. DOI: 10.1109/TCBB.2018.2872573. (Impact factor: 4.5)
[J1]: Haswanth Vundavilli, Aniruddha Datta, Chao Sima, Jianping Hua, Rosana Lopes, and Michael Bittner. “Bayesian inference identifies combination therapeutic targets in breast cancer.” IEEE Transactions on Biomedical Engineering 66, no. 9 (2019): 2684-2692. DOI: 10.1109/TBME.2019.2894980. (Impact factor: 4.6)
[C2]: Madhurima Mondal, Aditya Lahiri, Haswanth Vundavilli, Giuseppe Del Priore, N. Peter Reeves, and Aniruddha Datta. “Combination Supplements for Endometrial Cancer” In Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering (2023), Dayton, OH, USA, pp. 238-243. DOI: 10.1109/BIBE60311.2023.00045.
[C1]: Haswanth Vundavilli, Manuela Tumiati, Sampsa Hautaniemi, Aniruddha Datta, and Liisa Kauppi. “Image Processing Pipeline to Compute Homologous Recombination Score.” In Proceedings of the 12th International Conference on Biomedical Engineering and Technology (2022), Tokyo, Japan, pp. 51-56. DOI: 10.1145/3535694.3535704.
[P3] “Single-cell analysis of patient-derived xenograft reveals plastic cell state and lineage switching in prostate cancer,” poster presented at RECOMB 2022, San Diego, California. (May 2022)
[P2]: “Using Mathematical models and tools in Cancer,” presented at the National Institutes of Biomedical Innovation, Health & Nutrition, Japan. (September 2019)
[P1]: “Identifying key targets and drugs in Cancer: A mathematical approach,” presented at the University of Helsinki, Finland. (June 2019)