Computational Biology
Turning biological questions into models — simulating the behaviour of living systems in code.
I model how neurons grow — teaching machines to learn the logic of living systems.
Graduate Research Assistant at TÜBİTAK and MSc in Computational Biology & Bioinformatics (Kadir Has University, full scholarship) — working where biology meets artificial intelligence.

Biology is the most complex code ever written. I use computation to read it.
A computational biologist trained at the seam of wet-lab science and machine learning, Brishna builds models that capture how living systems actually behave — beginning with how neurons grow.
For an MSc thesis at Kadir Has University, Brishna modeled neuronal growth dynamics with artificial neural networks — teaching a machine to learn the logic of a developing brain.
From diagnostic labs in Karachi to a research assistantship at TÜBİTAK in İstanbul, the throughline holds: turn messy biological data into insight you can trust.
Turning biological questions into models — simulating the behaviour of living systems in code.
Working with sequences, signals and biological datasets to extract structure and meaning.
Designing and training ANNs — the core method behind the neuronal-growth thesis.
Modeling neuronal growth dynamics — how a developing brain wires itself, captured mathematically.
From feature engineering to validation — building models that generalise, not just memorise.
Hands-on lab and diagnostic experience — the biology behind the data stays real.
Research, recruitment, training and presentations at Türkiye's national scientific & technological research council.
Bridging technical work and product — coordinating features, users and delivery.
Clinical diagnostics — the hands-on lab grounding behind computational biology.
Public-health research on non-communicable disease — data, protocols and analysis.
Quality assurance in a biological, biochemical & pharmaceutical sciences institute.
Every project runs the same loop — from a biological question to an insight you can act on. Hover or tap each stage.
Start with a biological question worth answering — specific enough to test, important enough to matter.
Full merit scholarship for the MSc in Computational Biology & Bioinformatics at Kadir Has University.
2022Presented “Modeling Neuronal Growth Dynamics Using Artificial Neural Networks” at IFSCOM-E 2024.
2024Co-authored a comparative analysis of electric-current production by S. cerevisiae in a dual-chamber microbial fuel cell.
2021MSc research supervised by Dr. Ceren Gürkan · NeuroBM Laboratory.