Dr. Dhruv Aditya Srivastava

I turn plant and microbe biology into practical, data-driven answers for agriculture: greenhouse and field trials, machine learning, and clear insight for growers and product teams.

Plant scientist · Data scientist · Ag R&D

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

What I work on

From trial design to data-driven decisions.

Illustration of plant roots connected to fungal mycelium
Illustration of plant roots connected to fungal mycelium
Biologicals & Nutrition

I study how soil microbes and inoculants trade nutrients with crops and help them cope with stress. At Penn State I look at how plant nutrition shapes the support maize gets from arbuscular mycorrhizal fungi. At Missouri I ran ¹³C-labelling studies of carbon and nutrient exchange in mycorrhizal networks and led three RNA-seq projects on drought stress. Before that, in Israel, I worked on the grey-mould fungus Botrytis cinerea and on the biocontrol yeast Pseudozyma aphidis.


12+ years of research · 5 crops: maize, soybean, alfalfa, tomato, sorghum · 3 countries: India, Israel, USA

140 citations for our Nature Communications paper on how Botrytis overcomes plant defences · See publications →

Two individuals wearing protective glasses are closely observing plants under bright pink LED grow lights, likely in a research or laboratory setting. The plants appear to be leafy greens being cultivated in an indoor environment.
Two individuals wearing protective glasses are closely observing plants under bright pink LED grow lights, likely in a research or laboratory setting. The plants appear to be leafy greens being cultivated in an indoor environment.
Data Science & Ag R&D

I turn plant data into decisions. I design randomised greenhouse and field trials, then analyse them in R and Python: RNA-seq and WGCNA co-expression networks, ionomics, microbiome sequencing with QIIME, and machine learning. I completed the UT Austin postgraduate program in AI and machine learning, and I build my own tools, from SVM feature-selection pipelines to a neural network that identifies plant seedlings from photos.


377 citations · h-index 8 · 12 papers and book chapters

7 open-source projects on GitHub · 8 certificates in data science and AI · See projects →

What I bring to a team

Twelve years in labs, greenhouses and fields have given me skills that transfer directly to ag-tech, biologicals, crop science and data teams.

🧪 Trial design that answers the business question

Randomised greenhouse and field trials with the right controls and replication, so product decisions rest on solid evidence.

📈 Data to decision

From raw measurements to clear models and visuals. Reproducible pipelines in R and Python, plus AI/ML training from UT Austin.

🦠 Biologicals know-how

Mycorrhizal fungi, rhizobia, biocontrol yeasts and pathogens: the science behind inoculants and bio-based crop protection.

🧭 Project leadership

Led three RNA-seq projects end to end, won a postdoctoral research grant and mentored four students.

🗣️ Clear communication

30+ talks and posters, plus hands-on demos for farmers and students. I explain the science to agronomists, managers and growers.

🌍 Adaptable across teams

Worked in India, Israel and the USA, across molecular biology, pathology, physiology and data science.

Where I can add value: agricultural biologicals & inoculants · crop protection · ag-tech & precision agriculture · seed & breeding · greenhouse & controlled-environment farming · bioinformatics & data science

Experience

12+ years of hands-on R&D in India, Israel and the USA, now at Penn State: biologicals, plant disease, crop nutrition and data science.

Agricultural field
Agricultural field

2025 – now · Penn State University. Postdoc on maize and arbuscular mycorrhizal fungi: how nutrition shapes the partnership, using RNA-seq and network analysis.


2022 – 2025 · University of Missouri. Postdoc. Led three RNA-seq projects on drought stress, built WGCNA co-expression networks and ran ¹³C-labelling studies of nutrient exchange. Won a research grant and mentored four students.


2019 – 2022 · Hebrew University of Jerusalem. Postdoc on fungus–plant–biocontrol transcriptomics; gene knockout, RNAi and overexpression in fungi and plants.


2018 – 2019 · Volcani Center (ARO), Israel. Postdoc on how fungal and oomycete pathogens infect crops, plus microbiome analysis with QIIME.


2012 – 2018 · Hebrew University of Jerusalem. PhD in Plant Sciences on how barley acclimates to heat and drought.

About me

Plant scientist with 12+ years in biologicals, crop nutrition and plant disease, pairing crop trials with data science. Open to industry and academic roles.

A seedling with its roots growing in soil
A seedling with its roots growing in soil

370+

11

Publications

Citations

A biotechnology engineer by training (B.Tech., NIT Durgapur; M.Tech., IIT Guwahati), a plant scientist by PhD (The Hebrew University of Jerusalem) and a data scientist through the UT Austin program in AI and machine learning. I have worked with maize, soybean, alfalfa, tomato and sorghum, in the lab, the greenhouse and the field.


Outside work: hiking and writing poetry.

8

h-index

12+

Years in research

30+

Talks and posters

4

Students mentored

Latest on LinkedIn

Recent posts from my LinkedIn.

Get in touch

Open to R&D, biologicals, crop science, data science and ag-tech roles, and to research collaborations. Send me a message.

Email

dhruvaditya88@gmail.com

Connect

Plant science, microbes and AI.

Contact

Follow

dhruvaditya88@gmail.com

© 2026 Dhruv Aditya Srivastava