Hugo Francisco de Souza

Ph.D. scholar

Biogeography, Evolutionary Biology, and Herpetology

Hugo Francisco de Souza is a Ph.D. scholar cum scientific writer based in Bangalore, Karnataka, India. His academic passions lie in biogeography, evolutionary biology, and herpetology. He is currently pursuing his Ph.D. from the Centre for Ecological Sciences, Indian Institute of Science, where he studies the origins, dispersal, and speciation of wetland-associated snakes. His research involves extensive fieldwork across coastal India, where he spends his night tracking snakes in knee-, or even chest-deep water. This is followed by DNA extraction, processing, prayers to the PCR Gods, and genetic analysis, which comprise his bread and butter.

Hugo has received, amongst others, the DST-INSPIRE fellowship from the Government of India for his doctoral research and the Gold Medal from Pondicherry University for academic excellence during his M.Sc. His research has been published in high-impact peer-reviewed journals, including PLOS Neglected Tropical Diseases and Systematic Biology. He has been invited to give talks, classes, and seminars to budding scientists on ecology and evolutionary biology.

Hugo is a section editor for the scientific journal Reptiles & Amphibians and is regularly called upon to peer-review herpetology and biogeography papers in other publications. He enjoys teaching, reading, and writing, but few things come close to his obsession with debating. He has been fortunate to have been called upon to judge school- and college-level music and debate competitions, though he secretly wishes ‘anime quizzes’ were a thing.

When not working or writing, Hugo can be found consuming copious amounts of anime and manga, composing and making music with his bass guitar, shredding trails on his MTB, playing video games (he prefers the term ‘gaming’), or tinkering with all things tech. Hugo used to spend a significant portion of his time playing basketball, football, or badminton, but there’s only so much you can do in 18 hours of wakefulness.

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Articles from Hugo

Review explores how generative AI could support precision oncology decision-making

A narrative review examines how generative AI tools such as large language models and vision-language models could assist precision oncology by interpreting genomic data, matching patients to clinical trials, and synthesizing complex clinical information. The authors emphasize governance, human oversight, and retrieval-based safeguards to ensure these systems are deployed safely in cancer care.

11 Mar 2026

Eleuthero: Siberian Ginseng Benefits for Stress, Energy, and Fatigue

Eleuthero (Eleutherococcus senticosus) is a traditional Asian medicinal plant with preclinical anti-inflammatory, neuroprotective, and metabolic effects, but human evidence remains limited and mixed. Its main value lies in historically recognized use for tiredness and weakness, supported by emerging mechanistic research and cautious clinical interest.

18 Mar 2026

Global study reveals how inequality limits access to exercise and why it matters for health

A global analysis of physical activity data from 68 countries shows large socioeconomic and gender inequalities in access to choice-based exercise, particularly active leisure. The study also synthesizes evidence linking physical activity to lower risks of severe infectious disease, depression, and cancer mortality, and proposes a new “physical activity for health and wellbeing” public health framework.

10 Mar 2026

Red Light Therapy: How Light Improves Cellular Energy and Repair

Discover how targeted red and near-infrared light therapies influence mitochondrial biology, cellular repair pathways, and emerging clinical treatments across multiple health systems.

15 Mar 2026

AI model flags hidden breast cancers years before diagnosis in routine mammograms

Researchers evaluated four deep learning models using over 112,000 negative screening mammograms from the UK NHS to determine how well artificial intelligence could predict future breast cancers missed during routine screening. The MIT-developed Mirai model performed best, identifying about 27.5% of interval cancers within the top 4% of women flagged as highest risk.

9 Mar 2026

Can one AI analyze all medical scans? MedVersa shows promise across multiple imaging tasks

esearchers developed MedVersa, a generalist multimodal AI model trained on tens of millions of medical imaging instances to perform diverse radiology tasks within a single framework. The model matched or exceeded specialist AI systems across several benchmarks and produced radiology reports comparable to human reports in many cases while improving reporting efficiency.

8 Mar 2026

AI in Food: How Artificial Intelligence is Designing Healthier and More Sustainable Foods

Artificial intelligence is transforming food innovation by accelerating ingredient discovery, optimizing formulations, and enabling personalized nutrition strategies to improve public health outcomes. AI-driven tools also support food safety assessment, sustainable food systems, and precision nutrition while raising important governance, equity, and validation challenges.

11 Mar 2026

Cell-Cultured Fat and Its Role in Improving Flavor and Texture of Alternative Meat Products

This article examines how cultivated fat has the potential to bridge the gap between plant-based analogs and authentic animal tissue.

10 Mar 2026

AI trained on 9 trillion DNA letters predicts harmful mutations and designs new genomes

Scientists developed Evo 2, a large biological foundation model trained on about 9 trillion DNA base pairs that can analyse genomic sequences across bacteria, plants, and humans. The model predicts functional effects of genetic variants and can generate genome-scale DNA sequences, enabling new approaches to studying and designing biological systems.

5 Mar 2026

Study finds most sustainable diet indices overlook industrial food processing

A scoping review of 57 studies found that most tools used to assess sustainable diets focus on food production and consumption while largely ignoring food processing and other stages of the food system. The findings suggest that overlooking ultra-processed foods and processing impacts may lead to incomplete sustainability assessments and highlight the need for more comprehensive evaluation frameworks.

4 Mar 2026