Fionn Delahunty

M.Ps.S.I

I'm currently a researcher in the Insight Centre for Data Analytics in Galway, Ireland. Working on predicting prognosis of mental disorders using linguistic patterns through natural language processing and deep learning techniques.

I recently graduated with an MSc in Applied Data Science from University of Gothenburg | Chalmers University of Technology, in Sweden. I hold a first class honours bachelor's degree in Psychology from NUI Galway, Ireland.

News

Resume

Education

2017 - 2019
University of Gothenburg | Chalmers University of Techonology

MSc Applied Data Science

* Courses include, Linear Statistical Modeling, techniques for large-scale data, Human Computer Interaction, Deep Learning among others.

* Teaching assistant for masters course in Statistical Methods in Data Science.

* Thesis topic: Passive diagnosis of mental health disorders incorporating an empathic dialogue system.

2013 - 2016
National University of Ireland, Galway

BA Psychology

* Graduated with first class honours.

* Academic scholarship from first year grades.

* Thesis topic: Assessing the effects of internet-related drug urges on inhibition using an anti-saccade task.

Experience

2019 - Current

Passive Prediction

Cofounder in start up focused on workplace mental health support through natural language processing of behavioural patterns. • Enterprise Ireland funded seed funded. • Participant on the NDRC pre-accelerator program.

2018 - Current
Insight Centre for Data Analytics

Researcher in Natural Language Processing

Research on conversational chatbots and machine learning models for detection of behavioural patterns. • Use of NLP techniques, Google Big Query , Python parallel, Flask development

2015 - 2017 (Summer season)
Freelance

Senior Sailing Instructor

Marketing and customer service for adventure centres. Recruiting, hiring and managing employees.

2016
Scouting Ireland

Acadamoot Cultural Internship

Studying cultural differences to aid in the development of a intercultural program • Developed an intercultural program to ensure smooth relations between Japanese and Irish scouts on exchanges.

2016 - 2016
Blackstone Launchpad NUI Galway

Blackstone Launchpad Internship

Responsible for developing and carrying out research studies to identify target markets for the project within the student body

Volunteer Experience

2016 - 2017
NUI Galway Mountaineering Club

Treasurer / Chairperson

Managed all financial aspects of the club, turnover of €85,000. Developed online book keeping system. Wrote succesful grant applications for €30,000.

2015-2017
Scouting Ireland

National Team Lead for the Rover Network

Developed a system for all Irish Universities to link with the national scout association. Attended international conferences and developed international relations. Worked with several music festivals to arrange students to collect sleeping bags which where then passed onto homeless charities. 3000 bags collected over two years.

2013-2015
NUI Galway

Co-founder of Official Student Mobile Application for NUI Galway

Approached university management with solution to a number of problems. Lead the development of the official mobile app for the university. 30,000+ downloads over the first two years

Technical Skills

Coding Languages

  • Python (2.6 or 3+) {Pandas, Numpy, Mathplotlib, Sklearn, NLTK, Keras, Flask, Spark, tensorflow, OpenNMT}
  • R
  • SQL
  • NoSQL (Neo4j)
  • PHP

Other Skills

  • Server Management
  • Basic knowledge of front end web design
  • Google Cloud (big query)

Academic Reviewing

  • JMIR - Journal of Internet Medical Research

Publications & selected talks

Google Scholar Profile

Publications

2019
Masters Thesis

Passive Diagnosis of Mental Health Disorders Incorporating an Empathic Dialogue System

Fionn Delahunty, Robert Johansson , Mihael Arcan

Abstract: Depression and anxiety are the two most prevalent mental health disorders worldwide, impacting the lives of millions of people each year. Current screening methods require individuals to manually complete psychometric questionnaires. In this work we develop a deep learning approach to predict psychometric scores given textual data through the use of psycholinguistics features. Data is collected via a dialogue system, were we develop and incorporate an approach to model empathy. Which aims to allow for appropriate use of these systems in a clinical setting. Following a public evaluation, we demonstrate that our approach to model empathy can out perform a similarly trained non empathic approach. Additionally, we show that our deep learning prediction approach performed well on evaluation data, but has difficulty generalizing to experimentally collected data. Limitations and implications as a result of this work are discussed.

Pending publication, for access please email me :).

2019
Published

Passive Diagnosis incorporating the PHQ-4 for Depression and Anxiety

Fionn Delahunty, Robert Johansson , Mihael Arcan

Abstract: Depression and anxiety are the two most prevalent mental health disorders worldwide, impacting the lives of millions of people each year. In this work, we develop and evaluate a multilabel, multidimensional deep neural network designed to predict PHQ-4 scores based on individuals written text. Our system outperforms random baseline metrics and provides a novel approach to how we can predict psychometric scores from written text. Additionally, we explore how this architecture can be applied to analyse social media data.

Download

2019
Preprint

Using clickers to predict students final courses grades, a machine learning approach

Fionn Delahunty, Alexander Schliep

Abstract: In this short report, we expand on the existing work exploring the relationship between in class clicker scores and final coures grades. We develop a random forest classifier to predict which grade band a student will fall into based on their scores. We achieve high accuracy metrics in the evaluation stage.

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2018
Published

First Insights on a Passive Major Depressive Disorder Prediction System with Incorporated Conversational Chatbot

Fionn Delahunty, Ian D. Wood , Mihael Arcan

Abstract: Almost 50% of cases of major depressive disorder go undiagnosed. In this paper, we propose a passive diagnostic system that combines the areas of clinical psychology, machine learning and conversational dialogue systems. We have trained a dialogue system, powered by sequence-to-sequence neural networks that can have a real-time conversation with individuals. In tandem, we have developed specific machine learning classifiers that monitor the conversation and predict the presence or absence of certain crucial depression symptoms. This would facilitate real-time instant crisis support for those suffering from depression. Our evaluation metrics have suggested this could be a positive future direction of research in both developing more human like chatbots and identifying depression in written text. We hope this work may additionally have practical implications in the area of crisis support services for mental health organisations.

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2016
Unpublished, open access thesis

Assessing the effects of internet-related drug urges on inhibition using an anti-saccade task

Fionn Delahunty, Denis O'Hora

Abstract: Assessing the effects of internet-related urges on inhibition using an anti-saccade task Background: The average adult spends two thirds of waking day online; many researchers propose that this excess internet usage is driven by some form of behavioural addiction. One feature of addictions, according to the Tiffany cognitive urge model, is the presence of urges (i.e., craving) to engage in the behaviour that are difficult to ignore. The current study attempted to establish whether urges occurs for internet usage and test whether such urges interferes with inhibition processes.

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Talks & Presentations

2019
European conference on Mental Health

Passive prediction of Mental health illness through Artificial Intelligent

Fionn Delahunty, Robert Johansson Mihael Arcan

Type: Poster presentation.

Belfast Ireland. October 2019.

Abstract above

2019
ACL 2019

Passive Diagnosis incorporating the PHQ-4 for Depression and Anxiety

Fionn Delahunty, Robert Johansson Mihael Arcan

Type: Oral presentation.

Florence Italy. August 2019.

Abstract above

2019
8th Conference on teaching and learning in Chalmers / KUL2019

Using clickers to predict students final courses grades, an artificial intelligence approach

Fionn Delahunty, Alexander Schliep

Type: Oral presentation.

Goteborg, Sweden. January 2019

Clickers are useful for improving interaction in teaching. Here, we demonstrate how artificial intelligence can improve this usefulness even further by predicting final exam scores of students early in the semester. We also investigate how the number of attempts a student makes effect the correctness of the answer.

2018
26th Irish Conference on Artificial Intelligence and Cognitive Science

First Insights on a Passive Major Depressive Disorder Prediction System with Incorporated Conversational Chatbot

Fionn Delahunty, Ian D. Wood , Mihael Arcan

Type: Poster presentation.

Dublin, Ireland. December 2018.

Abstract above

2016
Psychological Society of Ireland, Student Conference

Assessing the effects of internet-related drug urges on inhibition using an anti-saccade task

Fionn Delahunty, Denis O'Hora

Type: Presentation

Belfast, Ireland. May 2016

Abstract above

2015
Teaching and Learning Conference. Durham, UK.

Student and Staff Collaboration in the Production of University Services

Sharon Flynn, Fionn Delahunty & Darren Kelly

Type: Presentation

Durham, UK. January 2015

How do we engange students in the development of key services designed primarily for them? We put them in control of the development! In this talk, we explore how NUI Galway has led the way with student as producer for univesity services.

2015
Blackboard world, Teaching and Learning confernece. Las Vegas USA

Developing a mobile campus app, for students by students

Sharon Flynn, Fionn Delahunty & Darren Kelly

Type: Presentation

Las Vegas, USA. July 2014

One year ago NUI Galway had no mobile services for students or staff, we now have an app downloaded by 15,000 students. The key to sucess? We let the students design it.

2015
Blackboard Ireland, Teaching and Learning confernece. UCD Dublin

Developing a mobile campus app, for students by students

Sharon Flynn, Fionn Delahunty & Darren Kelly

Type: Presentation

Dublin, Ireland. May 2014

One year ago NUI Galway had no mobile services for students or staff, we now have an app downloaded by 15,000 students. The key to sucess? We let the students design it.

Voted best Presentation, and invited to Blackboard World USA

Projects

My projects

Web Development



Company Details Link
NUI Galway Mountaineering Club Student club website build with wordpress CMS. Pretty simple set up, some interesting plugins to give addational features. G suite system admin as well. Website
Maamturks Challenge Irish hill walking event website and booking system. Website handles extreme traffic skipes during booking. It’s one of Irelands most popular hill walking events, often selling out all 250 tickets in less then a minute. Website
Galway Sea Scouts Simple wordpress website build for a local sea scout group. Application for membership system installed as well. G-suite system admin as well Website
Climbing Database Database system and php interface designed to record membership of a student climbing club. Website



Prediction algorithms

Algorithm Problem Link Dataset
Linear Regression Predicting the number of cigarettes smoked per week from a measure of risk taking in a social context (DOSERT) Notebook Risk lab dataset
ANOVA/ logistical Regression Predicting the number of car crashes from a measure of self control Notebook Risk lab dataset
Logistical regression Building a prediction model to predict if a participant in the dataset has smoked during their lifetime. Notebook Risk lab dataset
Multinomial logistic regression Building a prediction model to predict the age that a participant started drinking alcohol Notebook Risk lab dataset

Datasets

Reddit-QA-corpus An question answer corpus designed for training seq2seq neural networks.


MISC

DeepMoji Docker A docker container to run DeepMoji inference on the fly via Keras rest API

Blog

My blog

I'm not the most active or prolific writer, however I do sometimes metaphorically take pen to paper.

Everything I write is published on Medium, so feel free to head over there and read it.

Italian Trulli

Interviews:

Contact

Get in Touch

Contact Me


Email: FionnD@pm.me

Here are some other ways to contact with me: