About me

I'm Dr. Dhruv Aditya Srivastava, a plant scientist working where biology meets data. For more than 12 years, across India, Israel and the USA, I've studied how plants deal with the microbes around them: helpful partners like mycorrhizal fungi and rhizobia, and pathogens like Botrytis cinerea.

Since October 2025 I've been at Penn State, studying how plant nutrition shapes the way arbuscular mycorrhizal fungi help plants cope with abiotic stress. I combine greenhouse and field trials with ionomics, ¹³C labeling and RNA-seq.

I build the analysis myself: co-expression networks, microbiome pipelines and machine learning in R and Python. In 2024 I completed the UT Austin postgraduate program in AI and Machine Learning. I'm open to positions in both academia and industry.

Portrait of Dr. Dhruv Aditya Srivastava
Portrait of Dr. Dhruv Aditya Srivastava

At a glance

Plant science, microbes and AI for agriculture.

Abstract illustration of plant life and DNA
Abstract illustration of plant life and DNA

370+

12+

Years of international research

Citations

Experience & Education

12+ years across four research institutions in three countries, plus formal training in AI and machine learning.

Positions

Current: Penn State (since Oct 2025)

Previously: Univ. of Missouri, Hebrew Univ. of Jerusalem, Volcani Center (ARO)

A hand wearing a blue glove is gently touching or examining young green seedlings growing densely in a black tray. The setup appears to be in an indoor setting, possibly a laboratory or a controlled environment for plant cultivation. The background consists of a textured wall and a black metal rack.
A hand wearing a blue glove is gently touching or examining young green seedlings growing densely in a black tray. The setup appears to be in an indoor setting, possibly a laboratory or a controlled environment for plant cultivation. The background consists of a textured wall and a black metal rack.
Education

PhD, Hebrew University of Jerusalem · M.Tech., IIT Guwahati · B.Tech., NIT Durgapur · AI/ML program, UT Austin

Training & certifications

Formal training alongside my research, from a postgraduate program in AI to short courses. Links open the verified credential.

Data science, AI and computing

Post Graduate Program in Artificial Intelligence and Machine Learning · The University of Texas at Austin, with Great Learning · Jul 2023 – Mar 2024 · project portfolio

Genomic Data Science and Clustering (Bioinformatics V) · University of California San Diego, on Coursera · Sep 2026 · credential

Vibe Coding with Cursor AI · Scrimba, on Coursera · Apr 2026 · credential

Azure AI Fundamentals: Azure Machine Learning Fundamentals · Skillsoft · Feb 2025 · credential

Generative AI and Its Impact to Everyday Business · Skillsoft · Feb 2025 · credential

Harnessing the Disruption of Generative AI · Skillsoft · Feb 2025 · credential

Python for Data Science: Advanced Data Visualization Using Seaborn · Skillsoft · Jan 2024 · credential

CompTIA Linux+ training, including shell scripting with Bash · Skillsoft · Jan 2024

Agriculture technology

IoT Enabled Farming: Smart Agriculture · EDUCBA, on Coursera · Oct 2025 · credential

Professional skills

The Art of Organization · University of Missouri System · Feb 2025 · credential

Captivate Everyone You Meet and Never Be Forgotten, Overlooked or Interrupted Again · Skillsoft · Sep 2023 · credential

Theses

PhD, The Hebrew University of Jerusalem (2012–2018): Barley acclimation to heat and drought stress using proteomics and protein biochemistry.

M.Tech. in Biotechnology, IIT Guwahati (2010–2012, CGPA 8.95/10): Calcium signalling genes in the circadian rhythms of Neurospora crassa.

Frequently Asked Questions

What is your research focus?

How plants and soil microbes exchange nutrients, and how pathogens infect crops.

Where does AI fit into your work?

I use machine learning to find the signals that matter in large plant, nutrient and gene-expression datasets.

Are you open to new opportunities?

Yes. I'm open to positions in both academia and industry, from research and teaching to agricultural R&D and data science.

What crops have you worked with?

Maize, soybean, alfalfa, tomato and sorghum, in greenhouse and field trials.

Where can I find your publications?

On Google Scholar: 11 peer-reviewed papers and chapters, 370+ citations.

Connect

Plant science, microbes and AI.

Contact

Follow

dhruvaditya88@gmail.com

© 2026 Dhruv Aditya Srivastava