Aditya RajContact
State 01Observe
System / Photosynthesis
Model / SBML

SYSTEMSBIOENGINEERING

I model biological systems to understand how they behave, and engineer them to do more.

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BIOLOGY IS A SYSTEM.Observe it first.
MODEL

I study biological systems as complex systems: modeling them, simulating them, understanding their behavior, and ultimately engineering them.

GENECIRCUITCELLORGANISMBIOPROCESSENVIRONMENTSYSTEM

From molecule to system

Biological systems are nested.
I work across those layers.

With lab members at NIBB, Okazaki, Japan
Receiving the AREP certificate
AREP certificate
NIBB
JAPAN
2026

Photosynthetic systems

State transitions
Light harvesting

Modeling how biological systems respond to changing physical states.

Academic Research Experience Program
Fully funded · Prof. Jun Minagawa

Oculen Bio

A computational systems-biology platform for analyzing the fragility and robustness of biological circuits.

ROBUST

Move across the circuit to weaken its repression

The question
How fragile is a synthetic gene circuit when its parameters change?
The system
Engineered gene networks described in SBML and Antimony.
The model
Dynamical simulation of the circuit.
The intervention
Perturbation by Monte Carlo and Latin Hypercube sampling.

SBML · Antimony · Monte Carlo · Latin Hypercube Sampling
oculen.bio

One direction, many systems

Each project sits on the same question: how does a biological system behave, and what happens when it is pushed?

Flash talk at GCSB 2026
GCSB
2026

Münster, Germany

Poster
Modeling & Systems Biology

Flash talk
€1000 travel grant · Max Buchner Foundation

Presenting AquaOptim at FIBT 2026
FIBT
2026

Chennai, India

AquaOptim
Portable microbial-quality testing

Best Oral Presentation

Currently exploring

Systems bioengineering Synthetic biologyMetabolic engineeringBioprocess systemsBiophysical modelingComputational biologyBiological design

Who

Aditya Raj

Undergraduate researcher, Central University of Rajasthan.

What

Systems bioengineering

Synthetic biology, computational modeling, photosynthetic systems, bioprocess engineering, biological sensing, and resilience.

Why

Behavior

Understanding complex biological systems through computation, modeling and engineering.

Biology, mathematics, computation and engineering meet in the same place for me: systems that have to keep working while everything around them changes. I came to it self-taught, and followed that one thread.

BIOLOGY IS A SYSTEM.
SO IS EVERYTHING
WE BUILD AROUND IT.
Observe. Model.
Perturb. Engineer.

Aditya Raj