Bridging translational research and strategic technological adoption through high-performance computing, advanced biological modeling, and industry-aligned innovation.
High-impact scientific focal points leveraging high-performance clusters to accelerate translational discoveries.
Developing optimized, high-throughput computational pipelines for Oxford Nanopore sequencer data transfer, alignment, and evaluation. Enabling real-time sequencing pipelines on local clusters.
Specialized GPU-accelerated trajectory mining and structure calculations using modern molecular frameworks. Running full thermodynamic ensembles for ligand binding predictions and receptor stability assays.
Direct access to professional-grade enterprise clusters, configured for parallel jobs, deep modeling, and big data analysis.
The OJAS (OMICS JOB, AI & Simulations)HPC Node is powered by high-density, multi-socket Intel Xeon architectures paired with professional NVIDIA accelerator engines to process massive computational payloads.
Distinguished domain experts and academic guides directing infrastructure expansion and interdisciplinary curricula.
CEO
Dr. Anil Wali is shaping a vibrant deep-tech ecosystem through trainings & workshop masterclasses, incubation programs, entrepreneurship initiatives, and research-focused collaborations.
Project Director
Prof. Bhand leads the strategic development of a robust Bio-Cyber-Physical Systems ecosystem. He directs the scientific framework and advances deep-tech R&D for next-generation innovation.
Manager (Training, R&D)
Dr. Shandilya is leading the training ecosystem and R&D initiatives at BITS BioCyTIH Foundation. He specialises in adaptive pedagogy design & crafting custom learning experiences. He also enables research in Molecular Dynamics (MD) simulations & Next Gene Sequencing.
Strategic technological enablement modules built for research scholars, biologists, and analytics professionals.
Understand the foundations of Bio-Cyber Physical Systems. Learn integration patterns connecting embedded sensory units, biological models, and IoT streams.
Learn shell programming, compiler optimization, MPI/OpenMP, and scheduler queues. Run advanced simulations using cluster libraries (GROMACS/AMBER).
Hands-on training in raw signal processing, basecalling tools, sequence alignments, and custom assembly workflows on local cluster hardware.
Submit your academic background or research interest query to secure compute quotas or course registry seats.