Plant Scientist · Data Scientist · Molecular Diagnostics

Prem Pratap Singh

I find the biological signal inside noisy data.

I connect field biology, molecular diagnostics, multi-omics, and data science to turn complex biological measurements into evidence and decisions.

UC Davis · Postdoctoral Scholar · Open to Research Scientist and Data Scientist roles

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How I Work

From field biology to decision-ready evidence.

  1. 01

    Field

    Observe the biological problem in its real environment.

  2. 02

    Bench

    Measure the molecular signal with rigorous diagnostics and experiments.

  3. 03

    Code

    Turn complex measurements into reproducible computational workflows.

  4. 04

    Analysis

    Find the biological signal and translate it into interpretable evidence.

About

A scientist working across field biology, molecular measurement, and computation.

I'm Prem Pratap Singh, Ph.D., a plant scientist and data scientist currently working as a Postdoctoral Scholar at the University of California, Davis, in the Department of Viticulture and Enology.

My work sits where field biology meets computation. I take problems from the vineyard, through molecular diagnostics at the bench, into code and multi-omics analysis, and out the other end as evidence that can support a real decision.

I care about reproducibility, biological context, and making complex research understandable.

Portrait of Prem Pratap Singh, Ph.D., plant scientist and data scientist

Capabilities

Biology defines what to measure. Data science reveals what it means.

01

Crop Biology

Plant pathology, field sampling, infection assays, disease scoring, vineyard trials, heat-stress interactions.

  • Plant pathology
  • Field sampling
  • Infection assays
  • Disease scoring
  • Vineyard trials
02

Molecular Diagnostics

RT-qPCR, digital PCR, primer and probe design, assay validation, pre-symptomatic detection.

  • RT-qPCR
  • Digital PCR
  • Primer design
  • Assay validation
  • Pre-symptomatic detection
03

Omics and Analytical

RNA-Seq, TAG-seq, DESeq2, GO/KEGG/MapMan, WGCNA, GC-MS, LC-MS/MS, HPLC.

  • RNA-Seq
  • TAG-seq
  • DESeq2
  • GO/KEGG/MapMan
  • WGCNA
  • GC-MS
  • LC-MS/MS
  • HPLC
04

Data Science

Python, R, machine learning, statistical modeling, classification, biomarker discovery.

  • Python
  • R
  • Machine learning
  • Statistical modeling
  • Classification
  • Biomarker discovery
05

Structural and Computational Biology

AlphaFold, AutoDock, Amber, molecular dynamics, structural modeling.

  • AlphaFold
  • AutoDock
  • Amber
  • Molecular dynamics
  • Structural modeling
06

Reproducible Research

Snakemake, Linux/HPC, version control, SOPs, reproducible pipelines, scientific writing.

  • Snakemake
  • Linux/HPC
  • Version control
  • SOPs
  • Reproducible pipelines
  • Scientific writing
0

Domains

0

Methods and Research Practices

0

Peer-Reviewed Publications

Selected Work

Research built around measurable outcomes.

Grapevine canopy and fruit clusters photographed from within a vineyard row
01Vineyard Systems

What Red Blotch Virus Costs a Vineyard

Why does red blotch become more damaging in hot seasons?

A multi-year study of 327 vine samples across two growing seasons and four ripening stages, measuring how Grapevine Red Blotch Virus changes grape chemistry and wine outcomes. Key finding: infected vines lost roughly 4 points of sugar in a cool season and 10 in a hot one.

2.6x greater impact under hot-season conditions
  • RNA sequencing
  • Snakemake
  • DESeq2
View Research
Gloved hand pipetting a sample into a PCR plate in a darkened laboratory
02Molecular Diagnostics

Early Detection Test for Infected Vines

Can infection be measured before symptoms become visible?

Built and validated laboratory tests to measure viral load and followed infection across more than ten vineyard blocks.

Detection before visible symptoms
  • RT-qPCR
  • Digital PCR
View Research
Food safety laboratory bench with sample vials, petri dishes, and a GC-MS instrument
03Food Safety

Food-Safe Coating Against a Cancer-Causing Mold Toxin

Designed a plant-derived treatment using food-safe ingredients to suppress aflatoxin production.

Over 90 percent reduction in toxin production
  • Nano-encapsulation
  • Chitosan
  • GC-MS
View Research

Watch

From Vineyard to Dataset in Under Three Minutes

A short walk through how a biological question becomes a reproducible pipeline and a decision.

Experience

Where the work has happened.

  1. Sep 2023 to Present

    Postdoctoral Scholar

    University of California, Davis, Department of Viticulture and Enology

    Leads field, laboratory, and computational work for a grapevine-virus research program funded by state and federal agriculture agencies.

    • 300+ crop samples
    • 1.3B+ sequencing reads
    • Reusable analysis pipelines

  2. Sep 2025 to Present

    MOVE Fellow, AI Trainer

    Handshake AI, part-time, remote

    Evaluates scientific reasoning in biology for frontier AI systems.

  3. 2017 to 2023

    Ph.D. Research Scholar

    Banaras Hindu University

    Developed plant-based treatments for food-borne molds combining formulation chemistry, wet-lab assays, transcriptomics, and computational modeling.

    • 85 percent less mold growth
    • Toxin eliminated
    • 6 first-author papers

Education

  • Ph.D. Botany/Plant Pathology

    Banaras Hindu University

    2023

  • M.Sc. Botany

    Banaras Hindu University

    2017

  • B.Sc. Botany

    Banaras Hindu University

    2015

Published Research

Evidence that has passed peer review.

Journal articles and book chapters spanning plant disease, molecular diagnostics, multi-omics, and food safety. 60 published works.

Showing 2 of 6 entries in the archive. 39 research articles and 22 book chapters published in total.

Wheat field at dusk showing early disease symptoms on leaves
ArticlePlant Disease2024

Placeholder Sample Article Entry One

Sample Journal of Plant Science

View Publication
Stack of hardcover reference volumes lit by a single desk lamp
Book ChapterPlant Disease2023

Placeholder Sample Book Chapter Entry Two

Sample Handbook of Crop Protection

View Publication

Field Notes

Ideas moving between crop and data.

Macro photograph of a grapevine leaf with early reddening along the veins
Molecular Diagnostics

Reading Viral Load Before the Leaves Show It

Why a quantitative assay sees infection weeks before a walk through the block does.

6 min readRead note
Dark workspace with a terminal running an analysis pipeline beside a data plot
Data

What 1.3 Billion Sequencing Reads Actually Tell You

Scale is not the same as insight. A note on turning raw depth into a defensible result.

8 min readRead note

Open to Opportunities

Better crop decisions, built on stronger biological data.

I'm currently open to Research Scientist and Data Scientist opportunities in ag-biotech, life-science tools, and AI-for-biology. Also open to research collaborations, scientific consulting, field biology projects, multi-omics analysis, and reproducible research workflows.

Occasional field notes

New research, methods, and ideas, without the noise.

Start a conversation

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