Priv.-Doz. Dr.

MartinEigel

Numerical Methods for PDEs with Stochastic Data, Scientific and Symbolic AI, Quantum Computing

Researcher at the Weierstrass Institute for Applied Analysis and Stochastics, Berlin, working on Scientific Machine Learning, low-rank tensor methods and adaptive numerics for high-dimensional problems.

People

Joint work

All results presented here rest on joint efforts — with collaborators at WIAS and at partner institutions, and above all with the excellent PhD students and postdocs I have had the privilege of working with.

Postdocs

{{ pd.n }}{{ pd.x }}

Doctoral researchers

{{ st.n }}{{ st.x }}

Alumni

{{ al.n }}{{ al.x }}

Collaborators ({{ collaboratorCount }})

{{ co.n }}

Research

Publications

{{ pubInfo }}
{{ g.year }}
Nothing found.

Theses

{{ th.t }}, {{ th.w }}

Funded projects

Running

{{ pj.period }}
{{ pj.title }} {{ pj.funder }} {{ pj.role }}

Completed

{{ pj.period }}
{{ pj.title }} {{ pj.funder }} {{ pj.role }}

Teaching

{{ c.sem }}
{{ c.title }}{{ c.kind }} · {{ c.inst }}

Software

{{ s.name }}{{ s.desc }} {{ s.tag }}

Short CV

{{ c.when }} {{ c.what }}
Poster illustration: a circular inference emblem and mirrored glyphs above a striped horizon, with decision-tree diagrams branching through the bands, in teal, orange and cream.