I lead Frontline's product offering. As Frontlines Chief Data Officer, I oversee developing an AI-powered domestic abuse risk assessment that is robust, valid and ethical. This includes the development of the AI, the digital interface and the training for the product. With experience as a project manager and data scientist in both the public and private sectors working for government institutions, NGOs and companies, I bring a unique blend of analytical expertise and practical insights to her role. I co-founded Frontline to advance the field of domestic abuse. More specifically, I am passionate about researching and developing tools that are evidence based, state of the art and effective in identifying and supporting victims of domestic abuse. As a social data scientist, my main interest lies in translating complex data into actionable insights to foster innovation and drive positive change. To help make sense of the data and understand the practical application of the tool, I am also supported by a (patient) husband who also happens to be a police officer. In my free time, I volunteer, eat good food and exercise (something Babatunde should do more of!). I am also a huge fan of Dungeons and Dragons.

At Frontline, I focus on the administrative elements of the organisation such as relationship building, fundraising and marketing. However, considering my work history I also support with the product build out. I have worked across the counter-violence sphere in a variety of geographies. This has ranged from supporting victims of child abuse in Central London all the way to working in counter-extremism/terrorism in Southeast Asia and the Middle East. I use my subject matter expertise and personal experience to support the team in bringing Lizzie to life. My time in counterterrorism drove me to create Frontline when I realised the disparity in the quality of tools that those who work to reduce household violence have vs those who work to prevent terrorism. Personally, seeing as household violence is significantly more common and has a greater social impact, I am determined to see this sector have advanced tools like Lizzie.

Adam is a Cambridge graduate with 12 years of experience in data driven technology in both Europe and MENA. His focus areas have been in behavioural marketing (Havas Group, Coty WW), prop-tech (Property Finder Group), media (Simon Sinek) and GovTech in the regulated financial services space.

I joined Frontline as a Data Analyst Intern because I wanted to be part of a dynamic and fast-paced startup world, working on solutions for sticky problems of determining the risk of domestic abuse based on just a few key survey questions. I work on innovative projects that leverage novel applications of machine learning and statistics to representative social data, leading to models that are competitive with the state-of-the-art. My role allows me to not only enhance my technical skills in areas such as predictive modeling and data visualization, but also to get a sense of how to communicate a product to possible clients. After my internship at Frontline, I will be start a new role as a research assistant at the Max-Planck Institute for Infectious Diseases, Berlin. There, I will be focusing on developing machine learning models for analyzing microscopy imagery, which is crucial in identifying the shapes and textures of healthy and infected cells. This position matches the intersection of my interests in biology and machine learning research, and I look forward to contributing to advancements in this field.

Sam is a junior data analyst with private and non-profit sector experience. At Frontline he focuses on the differences between risk assessment tools, researching the most effective times and cohorts upon which to deploy them.

My role at Frontline encompasses two areas of research as well as partnerships. I conduct desk research in to alternative risk assessments so that we can better understand how we can improve our offering. This part of my day to day working focuses on examining the academic literature on how effective risk assessments are for the prevention of domestic violence. Additionally, I am involved in managing partnerships and sales with charitable and social organisations. A key part of Frontline's ethos is that social and charitable organisations should have Lizzie for free. I work to establish close relationships with social organizations that are victim facing in the field of domestic abuse. Coming from a social sciences background, it is important to me to not only theoretically identify the causes and consequences of domestic violence but also to actively work towards preventing this injustice in our society. I am a cycling obsessive so when I am not at Frontline, you won't find me without my bike. My ambition for my internship is to get Babatunde to get a bike.

I work on Frontline’s AI product development. I’m involved in all aspects of model development, from data wrangling and visualization to statistical tests, model training and validation. Ensuring data quality and appropriate implementation of modelling techniques is my main focus as it ultimately underlies our product effectiveness in real-life settings. As a freelance data analyst, I take on challenging projects for mission-driven companies, being especially interested in social impact, healthcare, and accessibility. My background in Natural Sciences is the cornerstone of my research and analytical skills, whereas my work in finance and SaaS companies equipped me with a pragmatical approach to analysis. As much as I love coding and statistics, I’ve constantly been teaching alongside my technical work or taken on client-facing and mentoring responsibilities in previous positions. In my free time, I like learning, dancing tango, and kickboxing. My ambition is to get everyone at Frontline join a sparring session seeing as I already have enough mouthguards for double our team size.