About Me

I'm a Master's graduate in both Architecture and Data Science from Instituto Superior Técnico, an early stage researcher at INESC-ID, and a Computer Science and Engineering PhD candidate at the same university. Currently, I'm researching optimization processes and performance-based approaches to architectural design.

ines.pereira@tecnico.ulisboa.pt

Publications

2023

Balancing Design Intent and Performance: An Algorithmic Design Approach

Inês Caetano, Inês Pereira, António Leitão

Architectural Science Review, Taylor & Francis Online

paper draft bibtex

2022

Sketching Algorithmic Design

Renata Castelo-Branco, Inês Caetano, Inês Pereira, António Leitão

International Journal of Architectural Computing (IJAC), SAGE Publications

paper draft bibtex case study notebook

Reconstructing Architectural Optimization Workflows

Master thesis in Data Science and Engineering Supervision: António Leitão

master thesis bibtex case studies notebooks

2021

Uncertainty in daylight simulations of algorithmically generated complex shading screens

Luís Santos, Inês Caetano, António Leitão, Inês Pereira

Building Simulation Conference, Bruges, Belgium

paper bibtex

Conflicts in Passive Building Performance: Retrofit and Regulation of Informal Neighbourhoods

Gonçalo Araújo, Inês Pereira, António Leitão, Manuel Correia Guedes

Frontiers of Architectural Research (FoAR), KeAi Publishing

paper bibtex

2020

More is More: The No Free Lunch Theorem in Architecture

Inês Pereira, António Leitão

ASA Conference, Auckland, New Zealand

paper bibtex

The Collaborative Algorithmic Design Notebook

Renata Castelo-Branco, Inês Caetano, Inês Pereira, António Leitão

ASA Conference, Auckland, New Zealand

paper bibtex

Integrated Algorithmic Design in Practice: A Renovation Case Study

Helena Martinho, Inês Pereira, Sofia Feist, António Leitão

eCAADe Conference, Berlin, Germany

paper bibtex

A Generative System for the Design of High-Performing Shading Devices: Exploring the Daylight Potential of Weaving Patterns

Luís Santos, Inês Caetano, Inês Pereira, António Leitão

Passive and Low Energy Architecture (PLEA) Conference, A Coruña, Spain

paper bibtex

The Cost of Daylight: A Parallelized Approach to Multi-Objective Optimization

Inês Pereira, António Leitão

Passive and Low Energy Architecture (PLEA) Conference, A Coruña, Spain

paper bibtex

Creativity Inspired by Analysis: An algorithmic design system for designing structurally feasible façades

Inês Caetano, Sara Garcia, Inês Pereira, António Leitão

CAADRIA Conference, Bangkok, Thailand

paper bibtex

Escaping Evolution: A Study on Multi-Objective Optimization

Inês Pereira, Catarina Belém, António Leitão

CAADRIA Conference, Bangkok, Thailand

paper bibtex

2019

Optimizing Exhibition Spaces: A Multi-Objective Approach

Inês Pereira, Catarina Belém, António Leitão

eCAADe Conference, Porto, Portugal

paper bibtex

Towards lighting optimization: A performance-based approach

Master thesis in Architecture Supervision: António Leitão

master thesis bibtex

Resume

Work

Research Fellow

Fundação para a Ciência e Tecnologia (FCT) 2019 - Present

Research in multi-objective optimization and data visualization applied to architecture in the context of algorithmic approaches to design and analysis.

→ Feb 2022 - ongoing | PhD Grant
→ Mar 2021 - Aug 2021 | MSc Grant at Project Khepri
→ Sep 2019 - Feb 2021 | BSc Grant at Project Khepri

Early Stage Researcher

INESC-ID September 2017 - Present

Research in architecture and computation: algorithmic- and performance-based approaches to architectural design.

→ Feb 2022 - ongoing | PhD Research
→ Oct 2018 - Sep 2022 | FCT R&D Project: Khepri - Algorithmic Design, Analysis and Optimization
→ Sep 2020 - May 2022 | MSc research
→ Sep 2018 - Jun 2019 | MSc research

Teaching Assistant

Instituto Superior Técnico 2021 - Present

• 2023/24

→ 1st Semester | PhD Course: Digital Design
→ 1st Semester (P1) | MSc Course: Network Science
→ 2nd Semester | BSc Course: Design Programming and Computing

• 2022/23

→ 1st Semester | PhD Course: Digital Design
→ 2nd Semester | BSc Course: Design Programming and Computing

• 2021/22

→ 1st Semester | PhD Course: Digital Design
→ 2nd Semester | BSc Course: Design Programming and Computing

Education

PhD Candidate in Computer Science and Engineering

Instituto Superior Técnico Feb 2022 - Present

Master in Data Science and Engineering

Instituto Superior Técnico Sep 2020 - May 2022

→ Final Grade | 18/20 Thesis Grade | 20/20
→ Master Thesis: Reconstructing Architectural Optimization Workflows

Integrated Master in Architecture

Instituto Superior Técnico Sep 2020 - May 2022

→ Master Thesis: Towards Lighting Optimization - A Performance-Based Approach
→ Sep 2015 - Jun 2017 | Mentor in the Mentoring Programme promoted by NAPE.

Awards

Diploma of Teaching Excellence

Instituto Superior Técnico 2022/23

→ As a result of getting the maximum evaluation given by the students of the Design Programming and Computing course.

Diploma in Academic Excellence

Instituto Superior Técnico 2021/22

→ As a result of my excellent performance (level A) in the 2nd year of the Master in Data Science and Engineering.

Extracurricular

Research Member

Algorithmic Design for Architecture Feb 2017 - Present

Research contributor at Algorithmic Design for Architecture (ADA), a research group at IST/INESC-ID Lisbon.

Contestant

Huawei TechArena European University Challenge 2022 Sep 2022 - Nov 2022

The main goal of the competition was to optimize the layout of smart factory devices according to a set of constraints.

→ My team ranked in the top 10.

Summer School Student

Lisbon Machine Learning School (LxMLS) Jul 2020

Contestant

Pinocchio Children’s Library | Young Architects Competitions Sep 2017 - Dec 2017

The main elements of the proposed library were developed using an algorithmic approach to design through the Khepri tool.

Skills

Languages
Portuguese
Native
English
Fluent speaking and writing

Programming Languages
Python, Julia, Racket, Lisp, R, MATLAB, LaTeX, C#, SQL

Algorithmic Design
Khepri, Rosetta, Grasshopper
Data Science
Data Analysis
Pandas, Numpy
Data Visualization
Plotly, Seaborn, Matplotlib
Machine Learning
Scikit Learn, Pytorch, TensorFlow