Dr. Evangella Hazward
Heriot-Watt UniversityMolecular BiologyGenomicsPeer Review
A distinguished PhD scholar in molecular biology, with numerous publications in top-tier journals and a proven record of impactful research.
From raw data to accepted manuscript, our verified PhDs provide end-to-end guidance for high-impact journal publication. We speak the language of editors, reviewers and indexing bodies — because we are those people.
A platform built by PhD holders, for researchers. Every manuscript is reviewed, edited and guided by subject-matter experts who have published in your field, served as journal reviewers, and know exactly what it takes to get accepted.
A distinguished PhD scholar in molecular biology, with numerous publications in top-tier journals and a proven record of impactful research.
A postdoctoral fellow whose interests include polymer-based actuators, artificial muscles and additive manufacturing.
Research spanning advanced materials and sustainable technologies: nanomaterials, photocatalysis, semiconductors, thin films and membranes.
A leading expert in computational physics, working on the simulation of physical systems, algorithm development and high-performance computing.
Scroll through a cross-section of the doctorates working with us.
Trial design and survival analysis for public-health studies across West Africa.
Outbreak modelling and the messy business of turning surveillance data into policy.
Deep learning for medical imaging, with an interest in why models fail on new hospitals.
Fatigue and fracture in additively manufactured alloys, from powder to part.
Catalysis for carbon capture, and the scale-up problems nobody writes papers about.
Single-cell transcriptomics and the statistics needed to keep it honest.
Cortical circuits in learning, recorded in awake animals over months.
Randomised trials of psychological therapy, and what happens when they do not replicate.
Applied microeconomics on labour markets, with a weakness for natural experiments.
Time-series econometrics for central banks and anyone forecasting under uncertainty.
Comparative politics, electoral systems and the quantitative study of institutions.
Inequality and mobility, using register data across three Nordic countries.
Evaluating what actually works in classrooms, and measuring it without fooling yourself.
Corpus linguistics and computational approaches to syntax in low-resource languages.
Philosophy of science, with a focus on evidence, explanation and research ethics.
Economic history built from archives, and the quantitative methods that make it argue.
Health systems research, maternal outcomes and implementation in low-resource settings.
Contaminant transport in soil and groundwater, measured as well as modelled.
Regional climate downscaling and the honest communication of what it cannot tell you.
Reef ecology and long-term monitoring, including the analysis of very patchy data.
Population genetics and the demographic histories written into modern genomes.
T-cell responses in chronic infection, and assay development that survives peer review.
Pharmacokinetics, dose finding and the regulatory documents that go with them.
Nursing research and mixed-methods studies of care quality in district hospitals.
Oral epidemiology and long-running cohort studies of periodontal disease.
Structural reliability of bridges, from instrumentation through to probabilistic assessment.
Fluid dynamics and heat transfer, computational work checked against real rigs.
Power electronics and grid integration for renewables on unreliable networks.
Process intensification in chemical plants, and the economics that decide it.
Distributed systems, formal reasoning about them, and code that matches the proof.
Applied cryptography and the security analysis of deployed protocols.
Robot manipulation and learning from demonstration, mostly in cluttered real rooms.
Hypersonic aerodynamics and the validation of simulations against tunnel data.
Condensed-matter physics, quantum materials and the instrumentation behind them.
Radio astronomy, survey pipelines and statistics for very faint signals.
Partial differential equations and numerical methods that stay stable in practice.
Bayesian hierarchical models, prior choice and the diagnostics people skip.
Optimisation for logistics and scheduling, with an eye on what a solver can really do.
Asset pricing, market microstructure and the reproducibility of empirical finance.
Financial reporting, audit quality and governance in emerging markets.
Consumer behaviour, experimental design and the analysis of choice data.
Organisational behaviour and the measurement problems inside employee surveys.
Comparative law and regulation, with empirical work on how rules land in practice.
Crime data, spatial analysis and the evaluation of policing interventions.
Ethnographic fieldwork on migration, and the ethics of doing it responsibly.
Remote sensing and geographic information systems for land-use change.
Sedimentology and basin analysis, from core logging to subsurface modelling.
Crop trials, soil health and the statistics of experiments run on real farms.
Food safety, shelf-life modelling and sensory studies that stand up to scrutiny.
Veterinary epidemiology and disease surveillance across livestock systems.
Editors and referees at the better journals are buried in submissions. Papers are turned down because the methodology is underreported, the analysis lacks rigour, the claim is unclear, or the work does not fit the journal it was sent to — not because the science was weak.
That gap is presentational, and it is closable. Our experts are not editors who read about research; they are active researchers who referee for these journals, so they know what the report is going to say before it is written.
The results show that our method performs better than existing approaches, and this is an important finding for the field.
The same finding, after usAcross 1,240 held-out samples the method reduced absolute error by 18% (95% CI 12–24) against the current standard (p = .003), the first improvement reported on this benchmark since 2019.
Your data, your voice, your result. What changed is that the claim is now one a referee can check — which is the whole distance between “promising” and “publishable”.
From pre-submission strategy to post-review revision. Take the whole of it, or the one stage where your paper is stuck.
Substantive editing for clarity, argument flow and scientific precision, keeping your voice and meeting the conventions of your field.
Biostatisticians and methodologists audit the design, validate the tests and make sure the result is reproducible.
Matched on scope, impact factor, audience and acceptance rate — the work that avoids a desk rejection.
Editor-ready cover letter, title page, author statements and every supplementary file the portal will ask for.
A point-by-point reply that answers every comment professionally — the work that turns a major revision into an acceptance.
Publication-ready artwork built to the journal’s specification, at the resolution and in the format it demands.
A mock referee report before you submit, in the tone a real one arrives in, with the weaknesses named while they can still be fixed.
Plagiarism screening, image and data checks, authorship against the CRediT taxonomy, and every declaration the guide for authors requires.
Five stages, and you are told honestly at the first one whether the last is realistic.
Send the manuscript or the abstract. We tell you how ready it is and which journals are realistic.
A PhD in your exact subfield, a statistician if the analysis needs one, and an editor.
Methodology, statistics, narrative, figures and formatting, all worked on at once.
The full submission package prepared, and help with the cover letter and the portal forms.
When the reports arrive we build the rebuttal with you and revise against every comment.
Most editing services hire freelancers with a general English degree. anyPhD is a network of working PhDs, each with a publication record you can open and read. We understand your research because we do research.
Every expert hands over a Google Scholar link and a publication history before they are let near a manuscript, and each profile is checked by hand — not degree-holders, but people still contributing to the field.
Journals now screen with Turnitin, GPTZero and Copyleaks. The tools are unreliable, and honest papers are the ones paying for it.
Non-native and highly structured writing is exactly the pattern a detector rewards.
Translation and rewriting software can trip the same flag as a language model.
A false positive can mean a desk rejection, or a query about research misconduct.
Once a score is raised, the burden of proving authorship lands on you.
Human PhD editors who have published in your field. No AI in the loop — so there is nothing to declare, nothing to explain, and no pattern for a detector to catch. The prose reads like a researcher wrote it, because one did.
Your work deserves to be judged on its science, not on an algorithm’s false alarm.
Two desk rejections before we came here. Nobody rewrote our paper — they showed us that the claim in the abstract was bigger than the data could carry. We narrowed it, and the third submission went out to review.
Reviewer 2 wanted a mixed-effects model we had never fitted. Their statistician fitted it, documented it, and wrote the paragraph explaining why our original analysis was not wrong, only less informative. The revision was accepted with minor changes.
PRISMA 2020, a PROSPERO registration and a search strategy our librarian signed off without a single change. The editor’s first line was that the methods were unusually clear.
Pick the one closest to where your paper is stuck. It opens a message with the subject already written, and you can change every word of it.
Or send the manuscript and the decision letter and let a referee tell you what they see. More answers are on the FAQs page.
Tell us what you are working on. Every enquiry is read by a person, and you keep the copyright in whatever you send.