---
title: "Anja Surina — author profile and papers — Elamur Research"
description: "Anja Surina, École Polytechnique Fédérale de Lausanne: 2 papers on Elamur Research (2025–2026), h-index 2 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/anja-surina/"
---
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# Anja Surina

Anja Surina has 2 papers in our library, in 2025–2026; often with [Caglar Gulcehre](https://md.research.elamur.ai/free/en/authors/caglar-gulcehre/), [Edward Hughes](https://md.research.elamur.ai/free/en/authors/edward-hughes/), [Kaloyan Aleksiev](https://md.research.elamur.ai/free/en/authors/kaloyan-aleksiev/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5022222901) · [ORCID](https://orcid.org/0009-0001-9695-3441) · [**h-index 2**](https://openalex.org/authors/A5022222901) · [7 works](https://openalex.org/works?filter=author.id:A5022222901) · [12 citations](https://openalex.org/works?filter=author.id:A5022222901&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/anja-surina/#papers) · [🔗 Cited 13 times in our library](https://md.research.elamur.ai/free/en/authors/anja-surina/cited-by/) · [⭐ Paper Stars ranking: #11599](https://md.research.elamur.ai/free/en/paper-stars/page/116/#star-11599)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Anja+Surina) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Anja+Surina) · [dblp](https://dblp.org/search?q=Anja+Surina) · [ACL Anthology](https://aclanthology.org/search/?q=Anja+Surina)

## Affiliations

[🎓**École Polytechnique Fédérale de Lausanne** Lausanne · Switzerland 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/ecole-polytechnique-federale-de-lausanne/) · [🎓**ETH Zurich** Zurich · Switzerland 2022–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/eth-zurich/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems and Management · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/anja-surina/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/anja-surina/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/surina-2025-algorithm-discovery-llms-evolutionary-search/)** *(2025 · 12 citations)* LLM-driven evolutionary search methods such as FunSearch can discover strong algorithms, but they keep the language model frozen and never learn from what the search finds.
2. **[Training AI Scientists to Replicate Research](https://md.research.elamur.ai/free/en/papers/falck-2026-training-ai-scientists-replicate/)** *(2026 · 2 citations)* Replicating published results is central to trustworthy science, but it is hard for AI agents. Papers leave out details, current models are mostly trained on well-defined problems, and replication offers no single metric to optimise. The authors built Replica, an automatically constructed task space. In each task, a…

## Co-authors here

4 co-authors with a page, the most papers together first.

- [Caglar Gulcehre](https://md.research.elamur.ai/free/en/authors/caglar-gulcehre/)
- [Edward Hughes](https://md.research.elamur.ai/free/en/authors/edward-hughes/)
- [Kaloyan Aleksiev](https://md.research.elamur.ai/free/en/authors/kaloyan-aleksiev/)
- [Louis Kirsch](https://md.research.elamur.ai/free/en/authors/louis-kirsch/)

## Cited by

Papers of our library cite their works 13 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/anja-surina/cited-by/).

Updated 3 November 2026
