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Synthetic biology
+
Computational Biology
for Drug Discovery

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About Guido

I'm Guido Putignano, a scientist and entrepreneur at the intersection of cell therapy, control theory and artificial intelligence. My mission is to revolutionize healthcare by developing novel therapeutic approaches that combine synthetic biology with advanced engineering principles.
I focus on addressing major challenges in chronic diseases including cancer, diabetes, and neurodegenerative conditions. Through my work in optimal control systems and cell biology, I aim to create scalable solutions that can impact millions of lives.
What drives me is the belief that breakthrough innovations come from bridging disciplines - from biomedical engineering to AI-powered predictions. I'm committed to both scientific excellence and building the communities and platforms that accelerate progress in biotech.
As the saying goes, 'The quality of your mind determines the quality of your life.' I'm dedicated to continuous learning and growth, both in scientific understanding and in building meaningful relationships that drive progress.

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My Interests

Analyzing Biology

Let's reimagine aging as a treatable disease. My computational approaches decode biological processes at the molecular level, identifying intervention points to address the mother of all diseases. This paves the way for targeted age-related therapeutics.

Automate Experiment

I enhance research through intelligent automation. My systems design optimized experiments that minimize costs while maximizing insights. By applying AI to laboratory workflows, we can accelerate discovery timelines and improve reproducibility in biological research.

Control Biology

My mission is developing next-generation cell therapies. By applying control theory to biological systems, I create technologies for precisely engineering therapeutic cells. This approach enables predictable behavior in CAR-T cells and other living systems, transforming treatment possibilities.


Skills and tools

I work in the field of synthetic biology, with the focus on engineering mammalian cells to create new therapeutics for chronic diseases.

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My Core Values

Focus

Diving deep into specific problems to uncover solutions others miss. Complex challenges require concentrated attention and independent thinking.

Self-Sustaining Systems

Creating systems that generate value autonomously. True impact comes from solutions that outlast their creator.

Empathy

Pursuing excellence while remembering people come first. Impact matters, but so does how we treat each other along the way.

Purpose-Driven

Serving humanity by solving real problems. Motivated by creating positive change that improves lives.

Resilience

Adapting to setbacks rather than being defeated. This powers the pursuit of ambitious goals despite obstacles.

Impacting Billions

Focusing on bioengineering solutions with global reach. Purpose minimalism at its core.


Evolutionary Cancer Dynamics

Exercises in Game Theory, selection, diffusion, cooperation and much more to model cancer dynamics.

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Statistical Analysis for High-throughput Screening

Several projects on ATACseq, RNAseq and statistical analysis.

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Computational Simulation of Biomolecular Systems

6 Projects to study and simulate biomolecules

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Understanding human brain development and diseases: Lamin morphodynamics in brain organoids

Organoids are three-dimensional tissues grown from stem cells that can self-organize and differentiate to form different cell types and tissue architectures similar to organs. Lamins are structural proteins of the cell nucleus that regulate and support protein complexes involved in gene expression, DNA replication, transcription and repair, nuclear positioning, and aging. The function of lamins in brain organoid development is unclear.

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Bioimage analysis for stem cell research

A stem cell is a type of cell that has the unique ability to differentiate into various specialized cell types in the body. Stem cells are undifferentiated and unspecialized, which means they do not have a specific function or structure in the body like other

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Towards AI-driven longevity research: An overview

The process of aging is known to be dependent upon the interaction of different factors,such as the genome content of an individual, lifestyle factors, environmental interaction, and health facilities available to the individual (Newman and Murabito, 2013; Partridge et al., 2018; Singh et al., 2019). Increased lifespan and age represent the exceptional survival, maintenance of good health as compared to peers, delayed onsets of age-dependent diseases, and extreme phenotype of individuals (Kaeberlein, 2018; Pignolo, 2019). Previous works have emphasized how modern Artificial Intelligence (AI) is already playing an important role in speeding up decision-making in medical sciences by means of advanced machine learning (ML) algorithms. For example, it is revolutionizing the drug discovery process, saving money and time (Kelemen et al., 2008), as it is already being used to create the structure of new drugs depending on the specific structure of the target diseasecausing compound [see (Santus et al., 2021) for an overview]. In life sciences, the generation of high-throughput data such as proteomics, genomics, chemoproteomics and phenomics

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Synthetic biology for Entrepreneurs: Innovations in the Healthcare Sector

Imagine if you can have a tree that can mine gold or be resistant to any kind of virus forever.

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Stem Cells, What they are, How to use them and their future implications

Imagine if you could cure many diseases such as AIDS, Diabetes, Stroke and Alzheimer with just one element, would you be astonished by that?

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What is Human Enhancement, and why is it good for our society?

It was one day like others when the 20th October 1890 Walter Yeo was born. He was a young guy like others who used to spend his days with his older sisters Adelaide and Elsie.

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Awards


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