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Molly Coddington profile page

Senior Writer and Newsroom Team Lead

at Technology Networks

Molly reports on various scientific topics, covering the latest breaking news and writing long-form pieces. In 2020, she created the Teach Me in 10 video series, where weekly guests discuss and teach a scientific concept in less than 10 minutes. Before joining Technology Networks in 2019, Molly worked as a clinical research associate in the NHS and as a freelance science writer. She has a first-class honors degree in neuroscience from the University of Leeds and received a Partnership Award for her efforts in science communication.

Education

University of Leeds

Awards & Certifications

Georgina Henry Award for Digital Innovation Nominee

Lord Laidlaw Scholarship Recipient, University of Leeds

Partnership Award, University of Leeds

Accreditations

Neuroscience, BSc (Hons) recognised by the University of Leeds

Areas of Expertise

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Published Content

Total: 954

Male and female researchers reviewing data in a lab, discussing scientific retraction rates.

Male Researchers Retract More Papers Than Their Female Peers

A new global study reveals that male researchers have higher paper retraction rates than their female peers. We spoke to the lead author to find out why this could be the case.

3D-rendered brain shaped like Earth with neural network overlay, symbolizing global Alzheimer’s research.

Dementia Research Is “On the Cusp of a Major Breakthrough”

We spoke with Dr. Niranjan Bose, managing director, Health & Life Sciences Strategy, Gates Ventures, about how proteomics-based biomarkers and international partnerships are changing the future of neurodegenerative disease research.

Newborn baby in a blue hat resting on a caregiver’s shoulder, highlighting birth and sex assignment.

Study of 146,000 Pregnancies Suggests Sex at Birth Isn't Random

Is sex at birth random? Harvard research finds genetics and age may influence gender, challenging the belief that birth sex is like a coin toss.

Pediatric wheelchair beside chairs in a classroom, symbolizing mobility challenges in children with alternating hemiplegia of childhood.

Prime Editing Repairs Rare Brain Mutation in Mice

Scientists have used a precise form of gene editing, prime editing, to target the underlying mutations behind the rare neurological disorder, alternating hemiplegia of childhood.

A header image depicting an article from the series "biomarkers in focus".

EEG Biomarkers: The Future of Monitoring Neurological Health?

Learn about the potential of EEG biomarkers in the early detection and monitoring of neurological diseases such as Alzheimer's with Dr. Javier Escudero, reader in biomedical signal processing at the University of Edinburgh.

Stack of open academic journals showing glossy pages, representing scholarly publishing.

Why Academic Publishing Must Change

Experts discuss how academic publishing must change to support open science, transparency and global accessibility in a digital-first research world.

Patient undergoing magnetic resonance imaging scan inside a modern MRI machine in a hospital.

UK Biobank Sets New Global Record for Imaging Study

UK Biobank has completed whole-body imaging scans of 100,000 participants.

Brown envelope on a white background symbolizing an FDA full disclosure letter.

“Radical Transparency” or Not? FDA Releases Hundreds of Decision Letters to the Public

The FDA has released 200+ complete response letters in a bid to offer new insights into drug approval rejections and regulatory transparency.

Children running joyfully outdoors in colorful rain ponchos, symbolizing diversity in autism subtypes.

Four Autism Subtypes Found in Study of 5,000 Children

New research suggests that autism spectrum disorder (ASD) has four distinct subtypes: social and behavioral challenges, mixed ASD with developmental delay, moderate challenges and broadly affected.

Finger pressing a light switch, symbolizing the activation of switch-like genes.

Hundreds of Human Genes Show “Switch-Like” Behavior

University of Buffalo researchers conducted a systematic analysis of switch-like genes by analyzing genomes, transcriptomes and methylomes from 943 individuals and 27 different tissues.

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