Neha
Computational Biologist
Neha
(Also published as N. Arora, Neha Arora)
Computational Biologist
Summary
I am a PHD Student at the University of Newcastle with a strong background in Machine Learning, Data Science, and Deep Neural Networks. I bring industry experience from Tata Consultancy Services and HCL Technologies, where I worked as a System Engineer and Product Engineer. My current research focuses on developing software tools to support the analysis and understanding of complex diseases and disorders using Genetic Analysis and omics technologies.
ORCID: https://orcid.org/0009-0008-4196-2683
Technical Skills
| Category | Skills/Expertise |
|---|---|
| 🧬 Bioinformatics & Computational Biology | Genomic data analysis (GWAS, SNP analysis, association studies) ;multi-omics data integration (proteomics, transcriptomics); Protein–Protein Interaction (PPI) network analysis; Statistical genetics (PRS, Mendelian Randomization, LD Score Regression) |
| ⚙️Biological databases | GEO, UniProt, STRING |
| 🤖 Machine Learning | Data preprocessing, normalization, feature engineering ; AI Supervised & unsupervised learning; Deep learning (neural networks, representation learning) ; Graph Neural Networks (GNNs); Ensemble methods; Model evaluation and validation |
| 💻 Programming | Python, R, Java, C, C++, Kotlin |
| 🗄️ Databases & Data Engineering | MySQL, SQL Server 2019, Oracle 9i/10g; NoSQL databases; Large-scale data handling |
| 🧪 Tools & Platforms | MATLAB, LabVIEW, Selenium; OPNET, ProVerif, Citrix, Nagios, Nmap, Wireshark |
| 🌐 Systems & Networking | UNIX, Linux; Cisco Packet Tracer; TCP packet capture |
| ⚙️ Hardware & Embedded Systems | Arduino, NodeMCU |
Notable Achievements
1. Women Scientist at TIFAC(WOS-C) (2019-2020)
2. CMIE Fellow(2018-2019)(Fellowship awarded by Delhi Government)
3. Guest Lecturer at Indira Gandhi Technical University, Delhi(2020)
4. Day of AI Ambassador(2025)
5. Selected Speaker at PyCon Australia 2025
6. Selected Speaker at PyCon Malaysia 2025(Virtual)
6. Keynote Speaker at NIER Conference 2025(Virtual)
7. Reviewer - Applied Intelligence Journal(Springer Nature)
8. Reviewer -Engineering Applications of Artificial Intelligence (Elsevier)
9. Reviewer -Information Fusion
10. Reviewer - IET Biometrics(Wiley)
11. 3MT (Three Minute Thesis) Winner & People's Choice Award Recipient | School of Biomedical Sciences and Pharmacy
Cerifications
AWS AI & ML Scholar (Challenge Graduate) | Amazon Web Services & Udacity — June 2026
Grants & Research Awards
1. NSW Regional Cancer Research Network (NSWRCRN) Travel Award ($3,678 AUD) – Awarded to present research on Dynamic Preprocessing pipelines for predicting clinical endpoints in Endometrial Cancer for RECOMB 2026 (Thessaloniki) and the EMBL "AI and Biology" conference.
2. Google Cloud Research Credits Award – Awarded for "High-Performance Benchmarking of ML Models for genomic analysis," providing dedicated GPU infrastructure to scale PhD research on complex disease architecture.
3. CSIRO International HPC Summer School Fellowship (Lisbon, Portugal) – Highly Selective: One of only 10 students nationwide selected by CSIRO to represent Australia at the 15th International High-Performance Computing Summer School.
4. Linux Australia Travel Award – PyCon 2025 (Melbourne) – Selected Speaker and one of 12 awardees for the Grant. Presented on Hierarchical Clustering: Finding the awkward reunions.
5. PyCon Malaysia Travel Award (2025) – Presented on The Zen of Metaprogramming—The Code that writes Code.
6. Disease Models & Mechanisms (DMM) Conference Grant – Company of Biologists (£600) – International travel award supporting participation in high-impact biological research symposium (EMBL-AI and Biology).
7. Open Bioinformatics Foundation Fellowship (1500 USD) - Travel Fellowship Award to promote open source software at BOSC-2026[Results announced on [09-05-2026]
8. Intelligent Systems for Molecular Biology (1500 USD) - Travel Fellowship Award to promote open source software at BOSC-2026[Results announced on [02-06-2026]
9. Kaggle Benchmark Resource Grant Winner for Q2 2026
Conferences
| Conference | Month/Year |
|---|---|
| ➢ University of Queensland Summer School on Quantitative Genetics | July-2023 |
| ➢ International Conference on Machine Learning(Virtual) | July-2024 |
| ➢ Oxford ML Summer School | July-2024 |
| ➢ Australasian Summer School | Dec-2024 |
| ➢ IHPCSS Summer School | Jun-2025 |
| ➢ ABACBS Bioinformatics Conference | Nov-2025 |
| ➢ EMBL-AI and Biology Symposium(Virtual) | March-2026 |
| ➢ RECOMB-2026(ICORE B) | May-2026 |
| ➢ ISMB-2026(ICORE A) | Jul-2026 |
Leadership Roles
1. Guest Faculty at “Indira Gandhi Technical University for Women”, New Delhi, India for Advanced Database Management Systems(2020-2021)
2. Industry Coordinator, COMBINE Australia – Spearheading industry-academic partnerships for the national student sub-committee for bioinformatics and computational biology.
3. Sponsorship Co-Lead, Australian Society for Medical Research (ASMR) – Leading fundraising and corporate engagement to support national medical research initiatives.
4. Ambassador, Day of AI (2025) – Championing AI literacy and ethical technology education across Australian schools.
5. Team Lead, Dolphin Tank(2025) – Facilitating entrepreneurial innovation and pitch-mentoring for emerging healthcare/tech solutions.
6. Instructor, DeadlyCoders – Leading STEM education and coding workshops for an Indigenous-owned NFP, fostering digital equity.
7. Active Member, APBionet (Asia-Pacific Bioinformatics Network) – Engaging with the regional computational biology community.
8. Active Member, ISCB – Engaging with the regional computational biology community.
Publications and Posters
Neha, N., & Bhatia, T. (2026). HRG-GNN: Hybrid Link Prediction Algorithm. [Accepted(09/07/2026): InCoB-2026 / Co-Author]
Neha, N. (2026). Network-Based Approaches for Detection and Characterization of GNE Myopathy. [Accepted(09/07/2026): InCoB-2026 / Sole Author]
Neha, N. (2026). SynthProteomics: A Probabilistic Fuzzy Rule-Based Framework for Synthetic Clinical and Proteomics Data Simulation in Endometrial Cancer Research. [Accepted(13/07/2026): Bioinformatics Advances[IF 2.6]/ Sole Author]
Neha, N., Xavier, A., & Cairns, M. J. (2026). Precision Oncology: Predicting Endometrial Cancer Clinical Endpoints and Early Detection Markers Using Deep Learning on Reverse Phase Proteomics Array (RPPA) Data. [In Internal Review / Manuscript in Prep]
Neha, N. (2026). Optimized Reinforcement Learning Framework for Federated Learning. [Accepted[01-06-2026]: PRISM-2026 / Sole Author]
Neha, N., Bhatia, T., & Singh, I. (2026). A Policy-Based Context-Aware Cipher Suite for Zero-Trust Key Agreement. [Accepted(01-05-2026): SECRYPT 2026]
Neha, N., Xavier, A., & Cairns, M. J. (2026). Synthetic Horizons: Generating Omics Data for Next-Generation Discovery. [Poster]. [In Review :ScienceOpen Posters].
Divanshi, Bhatia, T., & Neha, N. (2025). Brain Tumor Classification Using a CNN-Driven Deep Learning Framework Leveraging MRI Imaging. [Accepted: Proceedings of SoCPRoS 2025 / Springer]
Neha, N. (2025). Adaptive Intrusion Detection System Leveraging Dynamic Neural Models with Adversarial Learning for 5G/6G Networks. 4th International Conference on Computer Technologies (ICCTech), pp. 103-107.
Neha, N., & Garg, D. (2012). Optimized Kinetic Data Structures Used in Robot Motion Planning. [IEEE Delhi Chapter]
Nikita, Neha, N., & Kumar, P. (2013). Analysis of Forest of Hashed Exponential Trees. International Journal of Computer Applications (IJCA), Volume 66, No. 5.
N. Jindal, S. Kaur, P. Kumar, & Neha. Forest Sort: Implementation and Performance Analysis. Research & Reviews: Journal of Embedded System & Applications, 1(1), 19-23 (2013).[SJIF: 6.0]
Research Software & Datasets
Multimodal Genomic & Phenotypic Data Repository(Zenodo)
-Curated and harmonized a cross-domain collection of GWAS summaries, protein-protein interaction networks (STRING-db), and disease data.
-Impact: 2,000+ global downloads
Reviewer
Reviewed paper for IEEE SmartGridComm'21 on “Machine Learning-based Microgrid Cyberattack Detection through Integration of IT and OT Data” (22.07.2021)
Reviewed paper “Orthogonal Projection for Disentangled Style Transfer in Diffusion Models” for the Applied Intelligence Journal
Reviewed paper “Batch process quality prediction based on the GFA-xLSTM model for Applied Intelligence Journal
Books
BOOKS (Amazon KDP)
[Amazon Author Page](https://www.amazon.com/stores/author/B01LZC7GGB/allbooks?ingress=0&visitId=abb7865c-c742-4109-834a-a500ee2c49d1&ccs_id=1e0bcfc2-5bf4-4fee-a9a7-eb38a4dcac76)
1. Arora, N. "ProVerif - The Protocol Verifier."
Amazon Kindle Direct Publishing.
[Directly related to MTech thesis work on
formal protocol verification]
2. Arora, N. "The Environmental Refugees in Maldives."
Amazon Kindle Direct Publishing.
[Interdisciplinary work on environmental policy
and climate displacement]
3. Arora, N. "Cope d Destral - Hacker's Magazine:
Hacker's Tool."
Amazon Kindle Direct Publishing.
[Cybersecurity and ethical hacking tools]
Intellectual Property Rights(Copyright Registerations)
1. A MATHEMATICAL FRAMEWORK FOR GENERATING SYNTHETIC PROTEOMIC AND CLINICAL PROFILES IN ENDOMETRIAL CANCER(Registered-SW-2026022405)
2. Automated Genomic Data Sorting Widget(Registered-SW-2026022494)
3. Graphical User Interface (GUI) Design of Web-Based Oncology Application-Data Analyser and Predictor(Submitted(AT-24331/2026-CO))