Rishika Sen :: Research
Her research portfolio represents a sophisticated bridge between computational biology and industrial AI, characterized by a shift from protein-level discovery to large-scale, trustworthy telecommunications systems. During her doctoral work, she developed specialized machine learning frameworks—such as PyPredT6, DeepT7, and the 3D-structure-based EPP3D—to identify bacterial effector proteins, while introducing the CQNR oversampling technique to solve complex data imbalance problems. Her work also extended into systems biology through ASAPP and BNRA, tools designed to predict metabolic pathways and analyze network robustness in host-pathogen interactions. Currently, as a Senior Associate Data Scientist at Commonwealth Bank of Australia, she works on AI Model Risk Validation. She focuses on the frontier of Trustworthy and Generative AI. Her recent contributions include a 2024 ITU publication on AI ethics in telecom and a 2025 patent for AI-enhanced positioning. Her latest research into knowledge distillation for domain-adapted LLMs aims to optimize large-scale language models for industry-specific efficiency. Complemented by international presentations and peer-review roles, her work consistently translates advanced algorithmic theory into robust, high-impact technological solutions.
Patents
AI-enhanced Positioning, PCT/SE2025/051144, Filed Dec 17, 2025 [Ericsson]
Journal Articles
Rishika Sen, Shrihari Vasudevan, Ricardo Britto, Mj Prasath. "Ascertaining trustworthiness of AI systems in telecommunications." ITU Journal on Future and Evolving Technologies, (2024), ITU, doi: 10.52953/WIBX7049
Rishika Sen, Somnath Tagore, and Rajat Kumar De. "Cluster Quality based Non-Reductional (CQNR) oversampling technique and Effector Protein Predictor based on 3D structure (EPP3D) of proteins." Computers in Biology and Medicine (2019) doi: 10.1016/j.compbiomed.2019.103374, IF: 3.434, SCI Indexed
Rishika Sen, Losiana Nayak, and Rajat Kumar De. "PyPredT6: A Python based Prediction Tool for Identification of Type VI Effector Proteins." Journal of Bioinformatics and Computational biology (2019) doi: 10.1142/S0219720019500197, IF: 0.912, SCI Indexed
Rishika Sen, Somnath Tagore, Rajat Kumar De. “ASAPP:
Architectural Similarity-based Automated Pathway Prediction System and its
Application in Host-Pathogen Interactions.”
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
(2018) doi: 10.1109/TCBB.2018.2872527, IF: 3.015, SCI Indexed
Rishika Sen, Losiana Nayak, and Rajat Kumar De. "A review on
host–pathogen interactions: classification and prediction." European Journal of
Clinical Microbiology & Infectious Diseases 35.10 (2016): 1581-1599, doi:
10.1007/s10096-016-2716-7, IF: 2.837, SCI Indexed
Rishika Sen, Sujoy Roychowdhury, Sumit Soman, H. G. Ranjani, Srikhetra Mohanty. "Knowledge Distillation of Domain-adapted LLMs for Question-Answering in Telecom." arXiv preprint arXiv:2504.20000 (2025)
Rishika Sen and Rajat Kumar De. "BNRA: A Boolean logic based Network Robustness Analyzer and its application in the aspect of Host-Pathogen interactions“ (Communicated)
Rishika Sen and Rajat Kumar De. "DeepT7: A Deep Neural Network based System for Identification of Type VII Effector Proteins “ (Communicated)
Posters
Rishika Sen, Losiana Nayak, and Rajat Kumar De. "Classification,
Prediction and Analysis of Type VI Secreted Effector Proteins". Advanced Lecture
Course - Molecular Mechanisms of Host-Pathogens Interactions and Virulence in
Human Fungal Pathogens, University of Aberdeen, Nice, France. (2017)
[PDF]
[BiBTeX]
Rishika Sen, Losiana Nayak, and Rajat Kumar De.
"Signature Pattern Mining of Type VI effector Proteins". EMBO Global Exchange
Lecture Course: Malaria Genomics and Public Health. (2017) DOI:
10.13140/RG.2.2.15231.61601
[PDF]
[BiBTeX]
Workshops/Symposiums attended
India|EMBO Symposium:Regulatory epigenomics:
From large data to useful models, March 10 to March 13,
2019 Chennai, India
International Symposium on Health Analytics and Disease
Modeling (HADM 2016), 29th February & 1st March, 2016,
Indian Institute of Public Health, Hyderabad (IIPHH), India
3rd IMSc Workshop and Conference on Modeling Infectious Diseases,
November 23 to December 1, 2015, Chennai, India
Acted as a reviewer in
Pattern Recognition and Machine Intelligence 8th International Conference, PReMI 2019, Tezpur, India [book]