Luiza Lober (portfolio)

Neural networks for dengue forecasting: a systematic review

Thu, 09 Oct 2025 00:00:00 +0000

Fri, 29 Aug 2025 00:00:00 +0000

Our new work on Arxiv. arxiv.org/abs/2508.20257
— Francisco Rodrigues (@franciscorodrigues.bsky.social) 2025-08-29T19:47:02.054Z

Discovering equations from data: symbolic regression in dynamical systems

Fri, 29 Aug 2025 00:00:00 +0000

Parameter inference in nonlinear dynamical systems via recurrence plots and convolutional neural networks

Wed, 09 Jul 2025 00:00:00 +0000

Fri, 29 Nov 2024 00:00:00 +0000

𝗜𝘀 𝗶𝘁 𝗽𝗼𝘀𝘀𝗶𝗯𝗹𝗲 𝘁𝗼 𝗽𝗿𝗲𝗱𝗶𝗰𝘁 𝗰𝗵𝗮𝗼𝘁𝗶𝗰 𝗱𝘆𝗻𝗮𝗺𝗶𝗰𝘀? In this new paper, we use recurrence plots to train convolutional neural networks with the task of estimating the defining control parameters of non-linear systems. arxiv.org/abs/2410.23408 with @luizalober.bsky.social
— Francisco Rodrigues (@franciscorodrigues.bsky.social) 2024-11-29T15:30:09.727Z

Forecasting infectious diseases in Brazilian cities: Integrating socio-economic and geographic data from related cities through a machine learning approach

Thu, 05 Sep 2024 00:00:00 +0000

Projects

Sun, 19 May 2024 00:00:00 +0000

Workshop on Dynamical Processes on Complex Networks

Mon, 13 May 2024 13:00:00 +0000

Pandas

Thu, 26 Oct 2023 00:00:00 +0000

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures.

PyTorch

Thu, 26 Oct 2023 00:00:00 +0000

PyTorch is a Python package that provides tensor computation (like NumPy) with strong GPU acceleration.

scikit-learn

Thu, 26 Oct 2023 00:00:00 +0000

scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.

Experience

Tue, 24 Oct 2023 00:00:00 +0000

Learn JavaScript

Tue, 24 Oct 2023 00:00:00 +0000

is designed to give technical content creators a seamless experience. You can focus on the content and the Hugo Blox Builder which this template is built upon handles the rest.

Embed videos, podcasts, code, LaTeX math, and even test students!

On this page, you’ll find some examples of the types of technical content that can be rendered with Hugo Blox.

Video

Teach your course by sharing videos with your students. Choose from one of the following approaches:

Youtube:

{{< youtube w7Ft2ymGmfc >}}

Bilibili:

{{< bilibili id="BV1WV4y1r7DF" >}}

Video file

Videos may be added to a page by either placing them in your assets/media/ media library or in your , and then embedding them with the video shortcode:

{{< video src="my_video.mp4" controls="yes" >}}

Podcast

You can add a podcast or music to a page by placing the MP3 file in the page’s folder or the media library folder and then embedding the audio on your page with the audio shortcode:

{{< audio src="ambient-piano.mp3" >}}

Try it out:

Test students

Provide a simple yet fun self-assessment by revealing the solutions to challenges with the spoiler shortcode:

{{< spoiler text="👉 Click to view the solution" >}}
You found me!
{{< /spoiler >}}

renders as

👉 Click to view the solution

You found me 🎉

Math

Hugo Blox Builder supports a Markdown extension for $\LaTeX$ math. You can enable this feature by toggling the math option in your config/_default/params.yaml file.

To render inline or block math, wrap your LaTeX math with {{< math >}}$...${{< /math >}} or {{< math >}}$$...$${{< /math >}}, respectively.

We wrap the LaTeX math in the Hugo Blox math shortcode to prevent Hugo rendering our math as Markdown.

Example math block:

{{< math >}}
$$
\gamma_{n} = \frac{ \left | \left (\mathbf x_{n} - \mathbf x_{n-1} \right )^T \left [\nabla F (\mathbf x_{n}) - \nabla F (\mathbf x_{n-1}) \right ] \right |}{\left \|\nabla F(\mathbf{x}_{n}) - \nabla F(\mathbf{x}_{n-1}) \right \|^2}
$$
{{< /math >}}

renders as

$$\gamma_{n} = \frac{ \left | \left (\mathbf x_{n} - \mathbf x_{n-1} \right )^T \left [\nabla F (\mathbf x_{n}) - \nabla F (\mathbf x_{n-1}) \right ] \right |}{\left \|\nabla F(\mathbf{x}_{n}) - \nabla F(\mathbf{x}_{n-1}) \right \|^2}$$

Example inline math {{< math >}}$\nabla F(\mathbf{x}_{n})${{< /math >}} renders as $\nabla F(\mathbf{x}_{n})$ .

Example multi-line math using the math linebreak (\\):

{{< math >}}
$$f(k;p_{0}^{*}) = \begin{cases}p_{0}^{*} & \text{if }k=1, \\
1-p_{0}^{*} & \text{if }k=0.\end{cases}$$
{{< /math >}}

renders as

$$ f(k;p_{0}^{*}) = \begin{cases}p_{0}^{*} & \text{if }k=1, \\ 1-p_{0}^{*} & \text{if }k=0.\end{cases} $$

Code

Hugo Blox Builder utilises Hugo’s Markdown extension for highlighting code syntax. The code theme can be selected in the config/_default/params.yaml file.

```python
import pandas as pd
data = pd.read_csv("data.csv")
data.head()
```

renders as

import pandas as pd
data = pd.read_csv("data.csv")
data.head()

Inline Images

{{< icon name="python" >}} Python

renders as

Python

Learn Python

Tue, 24 Oct 2023 00:00:00 +0000

is designed to give technical content creators a seamless experience. You can focus on the content and the Hugo Blox Builder which this template is built upon handles the rest.

Embed videos, podcasts, code, LaTeX math, and even test students!

On this page, you’ll find some examples of the types of technical content that can be rendered with Hugo Blox.

Video

Teach your course by sharing videos with your students. Choose from one of the following approaches:

Youtube:

{{< youtube w7Ft2ymGmfc >}}

Bilibili:

{{< bilibili id="BV1WV4y1r7DF" >}}

Video file

Videos may be added to a page by either placing them in your assets/media/ media library or in your , and then embedding them with the video shortcode:

{{< video src="my_video.mp4" controls="yes" >}}

Podcast

You can add a podcast or music to a page by placing the MP3 file in the page’s folder or the media library folder and then embedding the audio on your page with the audio shortcode:

{{< audio src="ambient-piano.mp3" >}}

Try it out:

Test students

Provide a simple yet fun self-assessment by revealing the solutions to challenges with the spoiler shortcode:

{{< spoiler text="👉 Click to view the solution" >}}
You found me!
{{< /spoiler >}}

renders as

👉 Click to view the solution

You found me 🎉

Math

Hugo Blox Builder supports a Markdown extension for $\LaTeX$ math. You can enable this feature by toggling the math option in your config/_default/params.yaml file.

To render inline or block math, wrap your LaTeX math with {{< math >}}$...${{< /math >}} or {{< math >}}$$...$${{< /math >}}, respectively.

We wrap the LaTeX math in the Hugo Blox math shortcode to prevent Hugo rendering our math as Markdown.

Example math block:

{{< math >}}
$$
\gamma_{n} = \frac{ \left | \left (\mathbf x_{n} - \mathbf x_{n-1} \right )^T \left [\nabla F (\mathbf x_{n}) - \nabla F (\mathbf x_{n-1}) \right ] \right |}{\left \|\nabla F(\mathbf{x}_{n}) - \nabla F(\mathbf{x}_{n-1}) \right \|^2}
$$
{{< /math >}}

renders as

Example inline math {{< math >}}$\nabla F(\mathbf{x}_{n})${{< /math >}} renders as $\nabla F(\mathbf{x}_{n})$ .

Example multi-line math using the math linebreak (\\):

{{< math >}}
$$f(k;p_{0}^{*}) = \begin{cases}p_{0}^{*} & \text{if }k=1, \\
1-p_{0}^{*} & \text{if }k=0.\end{cases}$$
{{< /math >}}

renders as

$$ f(k;p_{0}^{*}) = \begin{cases}p_{0}^{*} & \text{if }k=1, \\ 1-p_{0}^{*} & \text{if }k=0.\end{cases} $$

Code

Hugo Blox Builder utilises Hugo’s Markdown extension for highlighting code syntax. The code theme can be selected in the config/_default/params.yaml file.

```python
import pandas as pd
data = pd.read_csv("data.csv")
data.head()
```

renders as

import pandas as pd
data = pd.read_csv("data.csv")
data.head()

Inline Images

{{< icon name="python" >}} Python

renders as

Python

Extracting the governing equations of epidemics through sparse regression

Mon, 16 Oct 2023 13:00:00 +0000

School on Nonlinear Dynamics, Complex Networks, Information Theory and Machine Learning in Neuroscience

Mon, 22 May 2023 13:00:00 +0000

(PT-BR) Extraindo as equações de sincronização em redes complexas através de regressão esparsa

Sat, 19 Nov 2022 13:00:00 +0000

Applying a sparse regression model in complex networks

Mon, 17 Oct 2022 13:00:00 +0000

Team Gold Retriever's solution to the RSNA-MICCAI Brain tumor radiogenomic classification competition @Kaggle

Fri, 17 Dec 2021 13:00:00 +0000

Initial conditions using PYTHIA for hydrodynamic simulations

Tue, 09 Nov 2021 15:00:00 +0000

Using PYTHIA as an initial condition generator for hydrodynamics

Sun, 10 Jan 2021 13:00:00 +0000

Elliptic flow in ultrarelativistic heavy-ion collisions

Wed, 16 Oct 2019 13:00:00 +0000

Eliptic flow in ultrarelativistic heavy-ion collisions

Sun, 01 Sep 2019 15:00:00 +0000

Development of a Light Detector for a Low Temperature Scanning Tunneling Microscope

Wed, 17 Oct 2018 13:00:00 +0000

Luiza Lober (portfolio)

Neural networks for dengue forecasting: a systematic review

Discovering equations from data: symbolic regression in dynamical systems

Parameter inference in nonlinear dynamical systems via recurrence plots and convolutional neural networks

Forecasting infectious diseases in Brazilian cities: Integrating socio-economic and geographic data from related cities through a machine learning approach

Projects

Workshop on Dynamical Processes on Complex Networks

Pandas

PyTorch

scikit-learn

Experience

Learn JavaScript

Video

Podcast

Test students

Math

Code

Inline Images

Did you find this page helpful? Consider sharing it 🙌

Learn Python

Video

Podcast

Test students

Math

Code

Inline Images

Did you find this page helpful? Consider sharing it 🙌

Extracting the governing equations of epidemics through sparse regression

School on Nonlinear Dynamics, Complex Networks, Information Theory and Machine Learning in Neuroscience

(PT-BR) Extraindo as equações de sincronização em redes complexas através de regressão esparsa

Applying a sparse regression model in complex networks

Team Gold Retriever's solution to the RSNA-MICCAI Brain tumor radiogenomic classification competition @Kaggle

Initial conditions using PYTHIA for hydrodynamic simulations

Using PYTHIA as an initial condition generator for hydrodynamics

Elliptic flow in ultrarelativistic heavy-ion collisions

Eliptic flow in ultrarelativistic heavy-ion collisions

Development of a Light Detector for a Low Temperature Scanning Tunneling Microscope