commit 73e0d377536791322c8ce5a998e68241f6b99dd3
parent 70508efa3b3e606d8281079e603ab60d89547aaa
Author: Silas Brack <silasbrack@gmail.com>
Date: Thu, 17 Oct 2024 17:48:17 +0200
Some changes
Diffstat:
| M | index.html | | | 38 | ++++++++++++++++++-------------------- |
1 file changed, 18 insertions(+), 20 deletions(-)
diff --git a/index.html b/index.html
@@ -9,13 +9,12 @@
<body>
<article>
- <h1 id="tufte-css">Silas' Blog</h1>
- <p class="subtitle">Data Scientist</p>
+ <h1 id="tufte-css">Silas Brack</h1>
+ <p class="subtitle">Machine Learning Engineer</p>
<section>
- <p>I'm currently employed as a Data Scientist, Senior Associate at Saxo Bank.</p>
<p>
- I work on developing AI and ML models and deploying them to production. For me, this is both by training
+ I work on developing AI and ML models and deploying them to production, at Saxo Bank. This means both training
in-house models and using pre-trained models (and combining the two). In my time at Saxo, I've worked on many
projects, including both of the client-facing products my team has released:
</p>
@@ -32,32 +31,31 @@
eliminated several highly time-consuming manual steps, and was trivial to extend to all languages covered by
Saxo.
</li>
- <!-- <li>A recommender system</li> -->
</ul>
<p>Previously, I've also worked as a C# developer at MAN Energy Solutions.</p>
<p>
- I recently finished my master's in Mathematical Modelling and Computation at the Technical University of
- Denmark. During my thesis, I worked on implicit matrix algorithms for performing the Laplace approximation in
- Søren Hauberg's group in the section for Cognitive Systems of DTU Compute.
+ I did my master's in Mathematical Modelling and Computation at the Technical University of Denmark. During my
+ thesis, I worked on implicit matrix algorithms for performing the Laplace approximation in Søren Hauberg's
+ group in the section for Cognitive Systems of DTU Compute.
</p>
<p>
Academically, I'm interested in machine learning and statistics, from deep learning to network science to
- Bayesian inference to forecasting. I love mathematics and would like to learn more—though mostly for its
- applications. I really enjoy sitting down and writing code. Finally, I'm interested in the intersection of
- science and society, and science communication is quite important to me. I spend a lot of time trying to learn
- more about how to effectively communicate ideas and really enjoy teaching.
+ Bayesian inference to forecasting. I love mathematics and would like to learn more, though I mostly care about
+ its applications. I derive a lot of pleasure from sitting down and writing code, so I try to do as much of
+ that as possible. Finally, I'm interested in the intersection of science and society, and science
+ communication is quite important to me. I spend a lot of time trying to learn more about how to effectively
+ communicate ideas and generally just enjoy teaching.
</p>
<p>
- I think it's important to be well-rounded and to have a broad understanding of the world. On the side, I like
- reading about the humanities, especially economics, philosophy, sociology, and history. I suspect life is
- intrinsically meaningless; I just try to make the most of it by learning, teaching, appreciating beauty
- wherever I can, and by prioritising doing things I enjoy. Because of this, I try to spend a lot of time
- engaging with the arts by reading, watching films, and listening to music. I also really like to cook, and
- have developed a reputation for my food among my friends.
+ In my spare time, I try to learn more about fields I'm less well-versed in—right now, that means
+ economics, philosophy, paleontology, and history. Life is meaningless, so I just try to make the most of it by
+ learning and teaching, appreciating beauty wherever I can, and by (mostly) doing things I enjoy. Because of
+ this, I try to spend my time coding, reading, watching films and series, and listening to music. I also really
+ like to cook.
</p>
<p>
- <a href="https://github.com/silasbrack">Here</a> is my GitHub if you are interested, and
- <a href="https://www.linkedin.com/in/silasbrack/">I'm also on LinkedIn</a>.
+ I'm on <a href="https://github.com/silasbrack">GitHub</a> and
+ <a href="https://www.linkedin.com/in/silasbrack/">LinkedIn</a>.
</p>
</section>
</article>
