Dat Le

Dat Le holds a Bachelor’s degree in Elec­tri­cal Engi­nee­ring and a Master’s degree in Robo­tics,
Cogni­ti­on, Intel­li­gence from the Tech­ni­cal Uni­ver­si­ty of Munich. His aca­de­mic and pro­fes­sio­nal
back­ground focu­ses on AI, machi­ne lear­ning engi­nee­ring, and data sci­ence.
During his care­er, Dat work­ed on end-to-end AI and machi­ne lear­ning pro­jects in both rese­arch
and indus­try, inclu­ding appli­ca­ti­ons in com­pu­ter visi­on, natu­ral lan­guage pro­ces­sing, and
auto­no­mous dri­ving. He gai­ned expe­ri­ence in deve­lo­ping and deploy­ing machi­ne lear­ning
solu­ti­ons for finan­cial appli­ca­ti­ons during his intern­ship at Munich Re. He later con­duc­ted his
master’s the­sis rese­arch at CARIAD (Volks­wa­gen), whe­re he deve­lo­ped data-dri­ven methods for
iden­ti­fy­ing safe­ty-cri­ti­cal dri­ving sce­na­ri­os in auto­no­mous dri­ving sys­tems. His rese­arch was
published and pre­sen­ted at the IEEE Intel­li­gent Trans­por­ta­ti­on Sys­tems Con­fe­rence (ITSC) 2025
in Gold Coast, Aus­tra­lia.
In June 2026, Dat joi­n­ed TUM Inter­na­tio­nal as a Juni­or Pro­ject Mana­ger. He sup­ports the
deve­lo­p­ment and imple­men­ta­ti­on of aca­de­mic pro­gram­mes for part­ner insti­tu­ti­ons world­wi­de,
with respon­si­bi­li­ties inclu­ding cur­ri­cu­lum design, part­ner col­la­bo­ra­ti­on, and qua­li­ty assu­rance.